IoT Projects Ideas for Engineers – Internet of Things

If you are searching for IoT projects Ideas, here you can find more than 100 project ideas. Here below I listed some IoT projects with some brief description to understand. The list of more than 100 project ideas

1. Intelligent cargo management system using Internet of Things

Supply Chain Management consists of a number of phases in which the transportation plays an important role. The problem that is addressed in this project deals with optimal delivery of the goods either to the subware house or to the shopping market. The lack of constant monitoring of the product during the freight contributes towards the food wastage during the transportation phase. The various factors that influence the freshness scale of the product which includes the natural and physical conditions are monitored by deploying some sensors and if any value exceeds the threshold value then the alerts are generated.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android app

2. Smart baby monitoring system using mobile App

This project helps us to monitor the baby’s movement .by sensing the movement we can tell whether the baby is sleeping or not .if the baby is not sleeping then we can play the music through the player which is connected to cradle.we can even operate the toy movement which is connected to cradle through the mobile app.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android app

3. Device talks to cloud: Explore Aws IoT platform

this project is developed on AWS IOT platform. we can send the sensor data to the cloud and store the data in the Dynamo DB.by hosting the web application in the elastic beanstalk we can control the required things like lights through this application if there are any threshold values.lambda functions are used to store and retrieve the data.

Hardware: Node MCU+AWS+Sensors

Software: Arduino IDE+AWS cloud

4. Smart medicine remainder for elderly people

Sometimes elder people forget to take the medicine at the required time of medicines. And also forgets which medicine He/She have to take at the required time. And it is difficult for Caretakers to monitor them around the clock. To avoid this problem, we have made this medicine reminder system.

Hardware: Node MCU + Sensors

Software: Arduino IDE + Android app

5. Cloud-integrated smart attendance system

In this project, fingerprint based attendance system is proposed. Attendance in educational institutions, industries will require more paperwork and time. To reduce this, automatic attendance system using fingerprint was developed. So whenever the person gives the fingerprint then it checks with the data in the database and if the fingerprint matches then his attendance is stored in the cloud. the web application is designed to monitor the attendance details .the attendance details can be sent through notifications or messages.

Hardware: Arduino + Ethernet + Sensors

Software: Arduino IDE+ Web App

6. Cloud-integrated Sudden Infant Death Syndrome Monitoring

Sudden Infant Death Syndrome (SIDS) is one of the major causes of death among infants during their sleep. The Wearable IoT Device is a wireless sensor node integrated into a Chest Belt, and it has the capacity to monitor different parameters.The parameters are sent to mobile App through Bluetooth. The values are then sent to the cloud .all the parameters can be retrieved to mobile app through which the doctors and caretakers can look after that parameters and can keep the track on baby health.

Hardware : Arduino + Bluetooth + Sensors

Software: Arduino IDE+ Android app

7. Connected Agri Warehouses cloud-enabled infrastructure

The main objective of the project is to monitor the ambient atmospheric conditions for proper food grain storage. We have implemented a monitoring and controlling system that monitors weather parameters like temperature, Humidity, Light and poisonous gases. These parameters are sent to Cloud. A web page is designed for remote monitoring of weather parameters in food storage room. An app is also designed for controlling the appliances in the room for maintains optimal weather parameters. This system is applicable for single storage house.

Hardware : Arduino + Ethernet + Sensors

Software: Arduino IDE + Android app + Web App

8. Drowsiness detection and alerting system

Drowsiness and Fatigue of drivers are amongst the significant causes of road accidents.This system can be implemented in the field where we need to test the alertness of the person. Eye aspect ratio algorithm is used to detect whether the person is drowsy or not.There will be the video streaming and from that When we detect that the person is drowsy or sleeping we can alert him to some sound alerts.

Hardware: Rpi+camera

Software: Python IDE+Android studio

9. e-health monitoring system for remote patient health monitoring

In this project, we have proposed an intelligent patients monitoring system to monitor the patient automatically with the help of IoT (more specifically connected sensors network) that collects the status information which includes patient’s ECG, body temperature, humidity unexpected body movement etc. and sends these data to the cloud. A web page, as well as an Android, is designed for this system for remote monitoring of patients health condition.

Hardware: Arduino+Ethernet+Sensors

Software: Arduino IDE+Android app+web App

10. Intelligent album creator with machine learning

Generally after copying the images from the camera or some other device sometimes we need to separate those photos accordingly so that we can share our friends their pics. So this classifier helps us in separating those pics using KNN classifier. We can keep all the pics in one folder and by using this classifier we can separate and save the pics of different persons in different folders.

Hardware: Rpi

Software: Python IDE

11. Cloud-integrated Intelligent Cargo Management System

The various factors that influence the freshness scale of the product which includes the natural and physical conditions are to be considered before the movement of the goods from the source to the destination. The collected data needs to be processed efficiently to make the right decisions.The sensors are deployed inside the truck to monitor the freshness of the product. Various parameters like temperature, humidity and the air quality inside the truck are monitored. An app is designed for receiving all the parameters through Bluetooth communication.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android app+Web App

12. Motion tracking intelligent camera

Through this project, we can build a basic motion detection and tracking system for home surveillance using computer vision techniques. There are many ways to perform motion detection, tracking, and analysis in open cv.

Hardware: Rpi

Software: Python IDE

13. Smart bus stop reminder with connected bus stops

Bus routes travel through a number of bus stops. Many times buses change routes and new bus stop names need to be configured in the system. Many bus stops also change their names at times or sometimes new bus stops to are added into existing routes. So here we propose a speaking bus stop indicator system using a raspberry pi. when the bus reaches the bus stop it receives the signals from the device which is placed in Busstop and speaks out the bus stop name.

Hardware: Rpi+Sensors

Software: Python IDE

14. Smart Conference Rooms Enabled With Beacons

Instead, meetings should be an effective use of everyone’s time, that one chance you have to push the agenda forward and make sure everyone has what they need to do their best work. Through this project, we can easily share the meeting agenda and we can take the feedback and points from every member of the meeting by simply sharing one link.In the meeting room, there will be a device which acts as a beacon through which the manager can share the meeting agenda and also he can take the info from other members.

Hardware: Esp32+Sensors

Software: Arduino IDE+Android app

15. Smart Face Aligner with computer vision

Face alignment, the process of Identifying the geometric structure of faces in digital images, Attempting to obtain a canonical alignment of the face based on translation, scale, and rotation. The reason we perform this normalization is due to the fact that many facial recognition algorithms, including Eigenfaces, lbps for face recognition, Fisher faces, and deep learning/metric methods can all benefit from applying facial alignment before trying to identify the face.

Hardware: RPi

Software: Python IDE

16. Smart Home Assistant with cloud integration

A home automation project can be made possible by giving voice commands through Alexa.Alexa is capable of voice interaction, music playback, making to-do lists, setting alarms, streaming podcasts, playing audio books, and providing weather, traffic, and other real-time information. Alexa can also control several smart devices using itself as a home automation hub.

Hardware: Rpi

Software: Python IDE

17. Smart Offices with Beacon Technology

Beacon scanner will be installed in each location of office which will scan the mobile beacons associated with each employee.Based on the number of people in each location controlling of lights and fans is performed.The scanner sends information to the cloud so that admin can monitor the data.This data can also be useful in rescue times.

Hardware: Esp32+Sensors

Software: Arduino IDE+Android app

18. Smart vehicle health management system

Vehicles need repair after a certain interval of time and if are not repaired at fixed intervals it can lead to loss of life of the person driving the vehicle or traveling on it. We have proposed an intelligent monitoring system to monitor the vehicle health that collects engine RPM, Vehicle speed, coolant temp, fuel avg. an App is also designed to collect all the sensor data through Bluetooth communication.the web app is designed where the condition of different vehicles can be monitored so that the persons can take necessary actions.

Hardware: OBD+Bluetooth

Software: Android app+Web app

19. Smartcity waste Management System with connected trashcans

Tracking of waste disposal in urban is becoming havoc. Management of waste produced in urban areas has to be managed properly.To manage waste like from monitoring the status of the bin (whether is empty or filled) to the disposal of waste, a system is developed. This system has a device which checks the bin status using sensors. Real-time monitoring of bin status from anywhere through Web app is possible.

Hardware: Arduino+Gsm/ Gprs+Sensors

Software: Arduino IDE+web App

20. Whatsapp Based smart home assistant

Home Assistant will track the state of all the devices in your home, so you don’t have to. This allows you to control all your devices by simply chatting with your device through WhatsApp. You can keep some sensors to track the different environmental parameters and other things and you can get those parameters by chatting.

Hardware: Rpi+Sensors

Software: Python IDE

21. Automatic Vehicle Accident Alert System using AWS IoT

Automatic Vehicle Accident Alert System, an alerting message which contains accident’s time and location sent automatically by the particular device embedded in a vehicle to emergency and relief agencies. So, they can rush to the accident and help the victim in time.The required parameters and the sensor values are sent to the Dynamo Db through the mobile application. the data is stored on the AWS platform.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android app

22. Fingerprint Based Attendance System

In this, project fingerprint based attendance system is proposed. Attendance in educational institutions, industries will require more paperwork and time. To reduce this, automatic attendance system using fingerprint was developed. Fingerprints are a form of biometric identification which is unique and does not change in one’s entire lifetime. This project presents the attendance management system using fingerprint technology.

Hardware: Arduino+Ethernet+Sensors

Software: Arduino IDE

23. Fingerprint Based Bank Locker System

The main goal of this project is to design and implement a lockers security system based on Biometric technology. This can be organized in bank, offices, and homes. In this system, only the authorized person can recover the documents, money, and valuables from the lockers.

Hardware: Arduino + Ethernet + Sensors

Software: Arduino IDE

24. IoT based patient health Monitoring System

through this system, we can monitor different health parameters of the patient like temperature, ecg.then these values are sent to the mobile application where the persons can monitor the conditions and if there is any case of emergency then a message is sent to the desired caretakers through the mobile application.

Hardware: Arduino + Bluetooth + Sensors

Software: Arduino IDE + Android app

25. IoT based patient health monitoring system

In this project, we have proposed an intelligent patients monitoring system to monitor the patient automatically with the help of IoT (more specifically connected sensors network) that collects the status information which includes patient’s ECG, body temperature, humidity, unexpected body movement etc. and sends these data to the webpage which is stored in SD card.

Hardware: Arduino+Ethernet+Sensors

Software: Arduino IDE+web App

26. IoT based vehicle health monitoring

we have proposed an intelligent patients monitoring system to monitor the vehicle health that collects the status information of which includes engine RPM, Vehicle speed, coolant temp, fuel avg. an App is also designed to collect all the sensor data through Bluetooth communication. In case of emergency if the vehicle condition is not stable, then an SMS alert is automatically generated through the Mobile app.

Hardware: OBD+Bluetooth

Software: Android App

27. Smart system for Agriware house monitoring and controlling system

The main objective of the project is to monitor the ambient atmospheric conditions for proper food grain storage. We have implemented a monitoring and controlling system that monitors weather parameters like temperature, Humidity, Light and poisonous gases. These parameters are sent to the mobile app through Bluetooth communication. If the weather conditions are not in optimal degrees controlling action can be done through the app.

Hardware: Arduino+Blueto oth+Sensors

Software: Arduino IDE+Android app

28. Smart Trash Can for Urban waste management

This project aims to optimize waste collection. The main objective of the project is to check whether the worker has attended the bin to dispose of it once he gets notified about the status of the bin (whether it is full). To check the status of the bin sensors is used. Once these measured values cross a threshold an SMS is sent to supervisor and worker. After SMS generation worker has to attend the bin to collect the bin. After he arrived he has to flash his RFID card to the reader attached to the bin so that an SMS will be sent indicating worker has come to collect the bin.

Hardware: Arduino+GSM/ GPRS

Software: Arduino IDE

29. Smart Wearable System for Sudden Infant Death Syndrome Monitoring

The Wearable IoT Device is a wireless sensor node integrated into a Chest Belt, and it has the capacity to monitor different parameters.The parameters are sent to mobile App through Bluetooth. The values are then sent to the cloud .all the parameters can be retrieved to mobile app through which the doctors and caretakers can look after that parameters and can keep the track on baby health.

Hardware: Arduino+Blueto oth+Sensors

Software: Arduino IDE+Android app

30. Development of Agricultural IoT Gateway

The main objective of the project is to develop a smart wireless sensor network (WSN) for an agricultural environment. Monitoring agricultural environment for various factors such as soil moisture can be of significance. This project investigates a remote monitoring system using Zigbee.There are different nodes which sends data wirelessly to a central server, which collects the data, and sends it to the cloud, from where the data is analyzed and then displayed on a Mobile APP

Hardware: Node MCU +Xbee+Sensor s

Software: Arduino IDE+Web App+Mobile App

31. Emergency Alert System for Physically Handicapped Cyclists

People with disabilities can also drive safely by making modifications or adding adaptive equipment to their vehicles to meet specific needs. The main aim of this project is to make the vehicle smart enough for people having disabilities, such that it automatically triggers a message to the concerned people when something happens (accident). A system is designed which monitors the speed and position of the vehicle. An immediate alert is generated if there are any anomalies in monitored parameters.

Hardware: Arduino+Blueto oth+Sensors

Software: Arduino IDE+Android App

32. Gas Pipeline Monitoring System For hospitals

The pipeline distribution system is an integral part of all medical Gas Management Systems. It serves to bring all required medical gases and vacuum to areas where they are needed. Without a properly designed, installed, and maintained distribution system, the security of the whole hospital can be at risk. Mishaps involving the malfunction or misuse of medical gas supply to operating theatres have cost many lives. Oxygen is one of the most widely used gases for life-support and respiratory therapy. In this project, we have implemented a system which monitors the storage of gas using pressure sensors and leakage of gas.

Hardware: ESP32+Sensor s

Software: Arduino IDE+Android App

33. IOT based River Water quality monitoring System

In today’s world, Internet of Things (IoT) and Remote Sensing (RS) techniques are being used in different areas of research for monitoring, collecting and analyzing data from remote locations. River water which is used as drinking water is a very precious commodity for all human beings.The system consists of several sensors which are used for measuring physical and chemical parameters of water. The parameters such as temperature, pH, and dissolved oxygen in the water can be measured. Using this system a person can detect pollutants from a water body from anywhere in the world.

Hardware: Arduino+GSM/ GPRS+Sensor s

Software: Arduino IDE+Web App

34. Low Bandwidth Networks For IoT Devices Using SNMP

In this project, we are implementing this SNMP protocol on two esp826612E module which is connected with humidity and temperature sensors. The data from these two agents are used to update the information to Gateway through SNMP protocol. This gateway intern passes the information on to a web page.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Web App

35. Remote monitoring of perishable goods Using IoT

Improper temperature control is a key reason why medicines like vaccinations and other perishable cargo are wasted in the supply chain. Even the slight change in the increase in temperature while handling the products can lead to deterioration, the considerable loss of revenue. To avoid this a cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function.

Hardware: Arduino+GSM/ GPRS+Xbee+Sensors

Software: Arduino IDE+Web App

36. Smart connected Signs for Improved Road Safety

In present Systems the road signs and the speed limits are Static. But the road signs can be changed in some cases. We can consider some cases when there are some road diversions due to heavy traffic or due to accidents then we can change the road signs accordingly if they are digitalized.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Web App

37. Smart Vending Machines Using IOT

Through this system, we can monitor different parameters of the vending machine like checking the level of the fluid in the vending machine so that if it is about to finish you can refill that machine with the required thing. You can check how frequently the machine is being used based on timings. If the person inserts the coin into the machine to buy coke then that coin insertion can be detected by IR sensor.

Hardware: Node MCU +Sensors

Software: Arduino IDE + Web App

38. Remote gas pipeline tunnel temperature monitoring system

The leading engineering and system integration providers needed exactly the right solution for a challenging gas pipeline application. The system integrator realized that monitoring the temperature of a gas pipeline tunnel is crucial for safe operations. In the confined space of a tunnel, temperature rises easily, and the overheating could cause pipeline fractures that could lead to gas leaks or even explosions. This may cause loss of property and human loss, so in order to overcome that, a remote monitoring system is designed which is used to monitor temperature levels, gas leakage and also pressure at the gas pipeline tunnel at various places.

Hardware: Node MCU + Xbee + Sensors

Software: Arduino IDE + Web App

39. Wireless Automated meter reading for power distribution networks

In many countries, electric power is provided by a number of private power plants distributed over wide areas. Optimizing distribution and transmission to meet market demand is always a challenge, particularly since power suppliers need to monitor data usage and combine the data for power generation, distribution, and transmission. So in this system, the energy meters are connected to Lora module and from that, the required parameters are sent to the gateway. From this gateway, the values are sent to the cloud and are retrieved to the web application where data is visualized.

Hardware: Arduino + Lora + Sensors

Software: Arduino IDE + Web App

40. Home Assistant with Raspberry Pi

Home Assistant is an open-source home automation platform running on Raspberry Pi. Track and control all devices at home and automate control. it will track the state of all the devices in your home, so you don’t have to. You can Control all your devices from a single, mobile-friendly, interface. Home Assistant allows you to control all your devices without storing any of your data in the cloud. We like to keep your privacy private. you can set up advanced rules to control devices and bring your home alive.

Hardware: Rpi + Sensors

Software: Python IDE

41. Internet of things platform on Raspberry Pi

Internet of Things technologies connect “Things” and the things are getting smarter based on the connection. However, there are still some barriers that each device require its own application and/or services. Using IoT.js we can build an IoT platform within the raspberry pi. IoT.js aims to provide interoperable service platform in the world of IoT, based on web technology. The target of IoT.js is to run in resource-constrained devices such as only a few kilobytes of RAM available device.

Hardware: Rpi

Software: Python IDE

42. Intelligent Robot using IBM Watson (Cloud Connected Robot Using IBM cloud)

The cloud Connected Robots can be deployed anywhere and they can be controlled through an application from where ever you are. This will be very useful in many fields like monitoring different areas where there is a need.In this project, we are connecting a Robocar to IBM Watson Services and from those services, we can control the car. We can create a user interface in the Watson services and that application will be hosted on IBM cloud.

Hardware: Node MCU +RC car

Software: Arduino IDE+Web App

43. Raspberry Pi as a Configurable Wi-Fi router and Web server

Through this project, we can turn the raspberry pi into the wifi router. And we can make the pi as WebServer. If we want to store the data remotely without using any cloud platform then we can create a local database in the raspberry pi itself and store the data locally.by simply connecting the ethernet to the raspberry pi we can configure the pi into Wifi Router.

Hardware: Rpi

Software: Python IDE

44. Raspberry Pi based Configurable alarm & Notification System

This project gives people the ability to build their own inexpensive, expandable and feature-rich alarm system. We tailored the system to run on the Raspberry Pi. With this project it’s also possible to connect multiple systems via a network connection and have them work together.we can create a user interface where we can give all the required inputs and we can configure the setups and alarms .we can also view the history of alarms and other data like pictures and all.

Hardware: Rpi+Sensors

Software: Python IDE

45. Intelligent access control system for safety-critical areas in industries

In some industries, it is necessary for the workers to wear safety helmets and shoes while working. So to check whether workers are taking safety precautions or not we are proposing this system. We can train our classifier to identify helmet and safety shoes with clarified API. There will be video streaming near the entry of the industries where we can detect if the person is wearing a helmet and shoes. If he is wearing them then the door will be open, if he is not wearing then we can restrict his entry.

Hardware: Rpi+Sensors

Software: Python IDE

46. Intelligent Robotic floor cleaner

In the modern era, the Automatic Floor Cleaner is required. Thus, the cleaner is designed in such a way that it is capable of cleaning the area reducing the human effort just by starting the cleaning unit. In this project, the main focus is to build and program it in such a way, that it can move around freely and clean a specific area. It uses Ultrasonic sensors to detect the obstacles.The cleaning mobs are attached to the cleaner in such a way that it can clean the whole surface while moving. The mobs are rotated with the help of servo motors. This cleaner can be controlled through the Web app.

Hardware: Node MCU +Sensors+RC Car

Software: Arduino IDE+Web App

47. IoT Enabled Smart Refrigerator

Smart refrigeration module is designed to transfigure any existing refrigerator into a smart cost effective machine using sensors. This smart refrigerator can be controlled through mobile App. We can monitor the temperature of the refrigerator through the mobile phone. By keeping some sensors in the refrigerator we can monitor temperature and current consumption. We can even predict the faults by analyzing the current values which are stored in the cloud.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Android App

48. SQUID: Street Quality IDentification

In an age of the autonomous vehicle, cities and municipalities need digital tools to ensure that their streets are well maintained at at-cost.To this end, we created SQUID, a low-cost data platform that integrates open source technologies to combine street imagery and ride quality data to provide a visual ground truth for all the city’s streets. In terms of implementation, the device is mounted to the back of a city vehicle with its camera facing downwards to the road. To detect the cracks and street quality we can train different classifiers using computer vision.

Hardware: Rpi+Sensors

Sofware: Python IDE+WebApp

49. IOTide Tide Prediction and Alerting System

Over the past few years, the popularity of the Internet of Things has increased immensely along with the availability of low-cost connected hardware devices designed specifically for IoT applications. This project aims at creating a tide gauge that publishes tidal water levels to ThingSpeak and uses MATLAB for tide prediction, analysis, and alerts.Our tide gauge uses the ultrasonic sensor to predict the level tide.

Hardware: Arduino+Ethern et+Sensors

Software: Arduino IDE+Web App

50. Intelligent visual recognition Engine with Machine Learning

The main aim of this project is to make use of Artificial intelligence to recognize the visual content. The Clarifai API offers image and video recognition as a service. This API is used to send the inputs like video and image to the service and returns the predictions. These predictions are based on the model we use to train the pictures. The other important feature is Intelligent Speech engine. For this speech engine vision, Mycroft API is used. Mycroft API will give the information of the input you give to Clarifai API through voice. The prediction that we get through Clarifai is sent to this Mycroft service to get the voice-controlled vision recognition.

Hardware: Rpi+Sensors

Software: Python IDE

51.Object Recognition engine with Raspberry Pi and clarifai

Object detection is the process of finding instances of real-world objects such as faces, bicycles, and buildings in images or videos. In this system, we use clarifai for object recognition. Our computer models are trained on a list of possible outputs (tags) to apply to any input (your content). Using machine learning, a process which enables a computer to learn from data and draw its own conclusions, our models are able to automatically identify the correct tags for any given image or video. These models are then made easily accessible through our simple API.

Hardware: Rpi+Sensors

Software: Python IDE

52. Virtual Librarian

The Virtual Librarian provides reading suggestions based on the NY Times Bestsellers List. Users are able to get a description of each book on a list and find similar books by the author. Users can also look for books by the author.Through this project, we can get a lot of information about books like bestsellers and the reviews from different websites and by this data, one can easily select the desired book. Bestseller results from the New York Times, User Reviews from Google Books, User Reviews from Goodreads, List of books by the author from Google Books.

Hardware: Rpi+Sensors

Software: Python IDE

53. Smart billing system for water suppliers

Now a day’s metropolitan cities operate water tanker service for delivery to residents needing drinking water from several fill stations across cities. Water tankers or private (lorry) operators get registered with these filling stations for facilitating water distribution to citizens. once they get registered a card is issued for them which is used for payments. The user has the facility to top-up their card through the web application. Each fill station is equipped with one more hand-held devices (based on the number of pumps in the fill station). The handheld device has the facility to read/write into an RFID based smart card as well as WiFi modem to communicate with a central server.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Web app

54. Community alerts with intelligent beacons

CAIB is a cloud-connected network of visual alert beacons which provides real-time visualization of critical emergency alerts. The beacons are meant to provide an alternative way to receive alerts. You no longer have to have a phone or computer to stay informed about potential hazards in your community. The main system consists of a head node beacon which displays details of the alert on a small touchscreen. The Light Beacons are smaller, more compact cloud-connected visual devices. These Light Beacons are meant to be placed around offices, rooms, or public places. In the event of an emergency situation, the beacons will flash appropriate color patterns in relation to the event.

Hardware: ESP32+Sensors

Software: Arduino IDE+Android app

55. Entertainment industry-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Customers will probably be able to receive virtual rewards in games they play based on their activity within a shop.There will be a lot of partnerships between music companies, magazines and game publishers on one side and public and private transportation on the other. We will probably start receiving recommendations on what to play to pass the time when we board a train or before we board a plane.When passing by a cinema, receive vouchers or information with what’s playing.At stadiums promote merchandise, find and/or upgrade your seats.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

56. Tourism and tourist attractions-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Find points of interest and/or receive maps and info when walking into a museum, Use beacons to broadcast useful information about the venue or future events that will take place, On beaches show weather info and a map with important locations for tourists near the beach: lifeguard, police, doctor, drug store.can share the history of that particular place or monuments.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

57. Travel-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Install beacons in airports to offer information about their location and where the check-in gates are or the exits.Place beacons near the security check to find out if any of an airline’s passengers are at risk of losing a flight.In train stations, passengers can receive information about any delays and what track they should be on.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

58. Advertising-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Advertising agencies will use beacons for more interactive ads and promotions, If any companies want to take surveys they can simply broadcast that link, online feedbacks can also be taken by the customers

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

59. Automotive-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Better traffic estimation and forecasts using beacons, weather reports can be sent, even we can broadcast the news.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

60. Education Industry-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Use the beacons as digital bulletin boards for courses or buildings for students, See if your child is in class or if he is skipping, if he arrived late or not, Teachers can broadcast information about their classes or exams

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

61. Healthcare industry-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Drug stores can promote free check-ups to bypassers, Hospitals can offer detailed maps with elevators and guides, Hospitals can promote an event taking place (for example open days for pregnant women), Ambulances (and other emergency vehicles) can send warnings to the vehicles in front of it.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

62. Hospitality-beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Offer information to passing clients about how full a venue is and/or how many free spaces are left.,Beacon that broadcasts do not disturb based on your settings or preferences in the app., Deliver digital newspapers when they are in the venue while they are drinking their coffee or ordering, can order the food by viewing the menu through the application.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

63. Retail industry-Beacons

Beacons are a small, low-energy device that can be installed or positioned almost anywhere. Typically they are placed on walls, counters or ceilings, but they’ve shown up on restaurant tables, in classrooms and even in stadiums.Send offers and discounts to a customer when near a product or a certain shelf, Offer coupons to customers after a purchase to share with their friends, thus encouraging others to visit during a sale or during a special event., Shoppers can upvote or downvote their experience in a shop or mall.

Hardware: ESP32

Software: Arduino IDE+Android app+Web App

64. Accelerometer based Alcohol Drinking Alert System

we propose a highly efficient system aimed at early detection and alert of dangerous vehicle maneuvers typically related to drunk driving. Through this device, we can even prevent the sudden death of the people due to over-consumption of alcohol. The entire solution requires only a device with accelerometer and Bluetooth which is integrated into the person’s shoes. This device will be able to communicate with the user’s mobile phone. In the mobile phone, we can check the person’s status which is based on accelerometer readings. We can tell whether the person is standing, walking or drunken based on this readings.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android app

65. Electro Magnetic Field Assessment in Smart city using IoT

Despite the increasing presence of wireless communications in everyday life, there exist some voices raising concerns about their adverse effects. In this system, we can track the EMF at different places by embedding some smart devices.This system consists of the smart device with a sensor which tells us about the EMF levels at that place. While deploying the devices we can set the locations manually. The sensor data is sent to the cloud and the data visualization is shown in the Web Application.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Web App

66. Intelligent and Weather Adaptive Street Lighting system

The electric power in most of the countries in the world is utilized in lighting the streets. However, the electrical energy consumed by street lights is not efficiently used because the need of street lamps is not essential on every street in all periods of time. In this project, we propose a system that switches off the light for the parts of the streets which are not in use and turns on the light for the parts of streets which are mostly used when it is dark. The smart street lighting also controls the luminosity of light and performs automatic light dimming which is an aspect that serves to reduce energy consumption. The intensity of light can be controlled based on illumination and the weather conditions.

Hardware: Node MCU +NRF+Sensors

Software: Arduino IDE+Web App

67. IoT based Civil Structural Health Monitoring System

All structures, whether bridges, wind energy plants, water, gas and oil pipelines, tunnels, oil rigs, pavements, rails, but also ships, planes, trains or others are subject to various internal and external factors which may cause wear or malfunction. This can happen, for example, due to deterioration, an incorrect construction process, lack of quality control or an extreme situation resulting from an accident or environmental load. To be able to observe these changes in the material and to react in a proper way before serious damage is caused, the implementation of a damage identification system is crucial.

Hardware: Arduino +NRF+Sensors

Software: Arduino IDE+Web App

68. Noise Detection and Management for SmartCity using IoT

Noise is an environmental effect which can cause annoyance and significantly affect health. With ever increasing population densities of cities, the noise levels are increasing and a balance needs to be achieved between legitimate commercial activities and controlling potential adverse noise effects to reasonable levels. Smart cities should be planned in accordance with urban noise detection and management guidelines to achieve a better level of control over noise. In this context, a framework for urban noise management is developed based on the IOT concepts.Using this system we can monitor the sound levels in the fixed areas by deploying some devices with the sensors.

Hardware: Node MCU+Sensors

Software: Arduino IDE+Web App

69. Public Crowd monitoring in marketplaces

All the authorities who are responsible for managing and controlling the crowd in public places face an uphill task. While in most cases the crowd expands to a very large physical area which is very difficult to monitor with personnel on the ground, the controlling part is even more challenging with multiple entries and exit points adding to the random movement of the crowd.Through this project, we can monitor the number of persons present in one particular area. We can monitor the number of persons entering and exiting a particular place. By using this data the authorities can estimate the number of persons in that place in case of emergencies and can take necessary actions.

Hardware: Rpi+Camera

Software: Python IDE+Web App

70. Smart Market Analyst for Textile Business

For retailers, shopping is the art of persuasion. Though there are many factors that influence how and what consumers buy. However, a great deal is decided by visual cues, the strongest and most persuasive being color. When marketing new products it is crucial to consider that consumers place visual appearance and color above other factors such as type, texture.So in order to help the retailers in identifying and analyzing the information like which colors are used most, this system will be helpful. By using this system we can detect the persons from the live video streaming and capture the image of the person and detect the dress color of the person.

Hardware: Rpi+Camera

Software: Python IDE+Web App

71. Centralized remote agriculture pump control system for farmers

Integrating modern technologies in agriculture and irrigation management systems is one of the ways of enhancing the irrigation processes to optimize the use of water and electric power consumption. The system, however, depends on the timely application of the water required to meet the water needs of the crops and this is achieved by remote switching of, water pumps. We can develop a device through which we can control the pumps remotely. The device consists of buttons by pressing them we can switch on and switch off the water pumps.

Hardware: Arduino+GSM/ GPRS+Sensors

Software: Arduino IDE

72. Cash from trash-innovative way of electronic waste management

Through this system, the authorities can collect the waste from the public and reward them accordingly for disposing of their e-waste.the reward points can be used to pay the electricity bill or other bills related to government. This process will attract many people and there are many advantages.To collect the waste there is a smart bin which is connected to level sensors and the bin is connected to a mobile phone. Through the mobile phone by using an Admin App we can generate a QR code so that whenever a person comes to dispose of the E-waste he can scan that QR code and enter his personal details and the details about the waste. When the person puts the waste into the bin the bin status changes and that status can be sent to the Admin App which is at the device .through this we can confirm that the person has disposed of the waste.

Hardware: Arduino+Bluetooth+Sensors

Software: Arduino IDE+Android APP

73. Go No Queue -Rush Estimator for Corporate Cafeteria

In many corporate offices, there will be many people who generally visit cafeteria every day. Sometimes the rush in these cafeterias would be more and there may be the chances of food shortage. This can be a problem sometimes which may affect the profits of the cafeteria.To overcome this Scenario we can design a system through which we can estimate the number of people entering and leaving the cafeteria and can count the number of people present in the cafeteria. By this data, the cafeteria people can prepare the food accordingly.There will be a device at entry and exit and through computer vision techniques we can detect the person and By taking the number of entries and exits we can estimate the number of people inside the cafeteria. This entire data will be stored in the cloud.The authorities of the cafeteria will be given a web App through which they can check the crowd estimation and prepare the food accordingly.

Hardware: Rpi+Camera

Software: Python IDE+Web App

74. Employee Fitness Tracker

The employee fitness tracking system may help the companies to track their employee’s fitness.In this System, there is a Smart device through which we can get the weight of the person. Whenever the employee comes near the entrance he should flash his RFID based ID card to the device and when he stands on that device the weight of the person is calculated and sent to the cloud. This data can be retrieved in the Web Application and through that, the manager can check the health status of every employee.In Web App, the BMI is calculated by considering their height which is already stored in the cloud. If the person’s weight is less then we can send him some suggestions or if he is fit then we can appreciate them by sending them email letters through the web app.

Hardware: Arduino+Ethern et+Sensors

Software: Arduino IDE+Web App

75. Hazardous Area Monitoring System for Industrial Plants

In some industries, there are some areas which are to be monitored time to time. Sometimes the conditions may become critical which may lead to loss of property and also human loss. To monitor the conditions we can integrate the smart devices in the areas which are needed to be monitored.Every device will be acting as a beacon and it is connected to temperature sensors. We can broadcast the temperature data along with the location of that particular area through beacons. The persons who generally monitor these places will be given a wearable device which will be acting as a beacon scanner.Whenever the person enters the desired area then he can view the required parameters and can be alerted, these are sent to cloud.

Hardware: ESP32+Sensors

Software: Arduino IDE+Web App

76. Intelligent people and vehicle counting system for secretariat

Security has always been the priority of any state. Taking such security into account a system is to be developed where we constantly monitor the people entering and leaving the place and even the vehicles which are entering that particular location.This project provides a solution for the security of secretariat. Through this system, we can estimate the numbers of persons present in the secretariat and also the total number of vehicles present there. This data will be useful in case of emergencies. At entry and exit of the secretariat, we can integrate a smart system through which we can constantly monitor the persons and cars entering and leaving.

• Camera detects entry and exit of a person

• Captures all faces

• Counts number of people in the Secretariat

• Captures all the cars

• Counts number of car entering and leaving

Hardware: Rpi+Camera

Software: Python IDE+Web App

77. An IVRS System using IBM Watson Cognitive Services

This is the Interactive voice response system which will help you in controlling the different appliances in homes or offices. This is just like the personal assistant which will help us in doing the daily tasks making our life simpler. While the personal assistant only responds to our queries and performs the specific task which we tell that. But this IVRS system is more interactive and asks us the things which it can do.We are developing an android application which will be working as an IVRS system and interact with us. It will ask us to perform different tasks which are predefined in the system. If we tell that to switch on the light then the lights will be on. By connecting some sensors to the device we can even monitor the weather parameters of that place.This system is built using IBM Watson cognitive services like Speech to Text, conversation service, and IBM Watson IoT.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Android App

78. Industrial Workers Health and Safety System based on Internet of Things

In some industrial areas and coal mines, there are many things which are needed to be monitored in order to take some safety measures when there are some critical conditions. To monitor different parameters we can integrate some sensors in the workers’ shoes. We can get temperature, pressure and altitude parameters. Every shoe is integrated with piezoelectric sensors through which we can calculate the distance the worker has walked (by considering the steps he has taken). These parameters are sent to the available beacon scanners in ever place through BLE technology.From beacon scanners, the entire data is sent to the cloud. This data will be visualized in the mobile application and through the web app, the authorities can check every worker’s status and if someone is working at higher altitudes he may alert him with necessary precautions.

Hardware: ESP32 +Sensors

Software: Arduino IDE+Android App

79. Electrical Cable Theft in Indian Railways

Now a day’s electrical cable theft is becoming a serious problem for Indian railways. The cable theft leads too many issues like train accidents and loss of property. When there is a cable theft the railway signals will stop working and this may cause train accidents.By comparing the voltage levels at station and junction box we can estimate the theft.There is a device at every junction box which will send the voltage parameters at that junction to the main coordinator through ZigBee communication. Even at the station, we can check the voltage levels by equipping some sensors. This entire data is sent to the cloud from the gateway. These parameters can be monitored in the web application and the notifications can be sent if any cable theft is found. Alerts are also generated through alarms.

Hardware: Arduino+Node MCU+Xbee+Sensors

Software: Arduino IDE+Web App

80. Development of Wireless Sensor Network with ESP8266

The dream of the connected world may come true with wireless networks. A wireless sensor network allows the devices to talk to each other without any wired connection. They can transmit the data among different nodes very easily. In this system, we are creating a wireless sensor network using ESP8266 modules. We are creating 4 nodes and at every node, the sensor is connected to monitor temperature and humidity parameters at that node. These 4 nodes can transmit the data among them and can talk to each other through WIFI communication. In that one node will be acting as a coordinator from which that entire data will be sent to cloud and from the cloud, the values will be retrieved to mobile application. Different node parameters can be monitored through the mobile application.

Hardware: Node MCU +Sensors

Software: Arduino IDE+Android App

81. Smart Surveying Device for Resource Optimization

In corporate offices and other industries, there are some common resources which are used by different people in that industry. Sometimes there will be the chances that the resources would be more or insufficient. This would be the drawback. Instead, these resources can be managed properly if we have the data of how efficiently the common resources are being used by different people in that company.This device can be integrated into the place where we want to monitor different parameters.Using computer vision technology we can count the number of people using the conference halls and the number of vehicles occupying the parking area and the crowd estimation can be done in the required areas. There will be a web app in which all the data can be monitored.

Hardware: Rpi+Camera

Software: Python IDE+Web App

82. Smart Security System for Homes

Now a day’s thefts are becoming a major issue. There are many cases where people are entering the homes as marketing agents or service persons and threatening the people in the homes and taking the money and other valuable things from them. In this system, there is a device which is integrated with the camera and the speaker. If any person or a thief enters the house and threaten the people then the persons in the home can simply wake up the device by simply shouting the wake word. For suppose if the wake word is “help” then if the device listens the word “help” then it means that the person needs some help and it will alert the people nearby generating an alarm and also it will start capturing the images of that location and sends that data to the mobile phones. It will also send the mobile notifications so that the persons can take necessary steps and help the people at the correct time.This system uses the IBM Watson speech to text service and database services.

Hardware: Rpi+Camera+Sensors

Software: Python IDE+Android App

83. Intelligent Security Guard for Historical places

There are some Historical places and other places like museums where the entry of the people is restricted after the visiting hours. After visiting hours the people should not stay in those areas as it would be not safe for those people and in some cases, it would become a problem for the authorities.In the present system, the security guards need to check every place whether there is any person present in that area or not and he should send them back from that place. In order to overcome this scenario, a smart device can be integrated at the entrance of that particular place and count the number of persons entering and exiting that location. We can capture the faces of the persons while entry and exit. By Storing these images we can match the exit faces with the entry faces by using face matching algorithms and can identify the faces of those who have entered but didn’t exist. There will be a web application through which the security guards can check the faces of those who didn’t exist and they can get the count of the people who remained there. This data will be helpful to them and makes their task easier.

Hardware: Rpi+Camera

Software: python IDE+web app

84. Remotely Manageable Smart Socket System for Corporate Offices

Sometimes the employees in the corporate offices may forget to shut down their systems and switch off the main plug socket. This may cause many issues. If there are any power fluctuations the system may damage and can lose the important data related to the company. Data security is also the major problem if someone forgets to shut down their system.In this system, all the systems are connected to the local server and this local server will be connected to the cloud. There is a web application through which we can monitor the systems and we can shut down them through that application. If we shut down the system then the system will ask for confirmation for shutting down. If the employee has not confirmed anything, then the system will be automatically shut down. Every system will be having an application which helps us in shutting down that system. Once we confirm that all the systems are shut down properly we can switch off the main power socket through the web application.

Hardware: Node MCU+Sensors

Software: Arduino IDE+Web App

85. Pattern Recognition Camera using Deep Learning

Sometimes there are some cases where the authorities are unaware of the issues and they are not intimated about those issues at the correct time. This may cause many problems and even lead to the human loss. There are many situations where we can monitor different patterns and intimate the authorities at the right which will help them in taking the necessary actions at the correct time. There will be video streaming through which we can monitor different things.Every cop will be having a mobile app through which he will be intimated if there is more traffic, if there is much crowd, if there is any fight among the crowd, If there is any really going on and if there is an ambulance which is stuck in the traffic.These notifications will be helping the cops in taking necessary actions and handling the situations.

Hardware: Rpi+Camera

Software: Python IDE+Mobile App

86. Smart Guest Identifier with Remote Access Management

Sometimes we will be in our offices or we may go out and our loved ones and friends may visit us. We may miss them as we don’t have any idea that someone has come to meet us. So if we know who has come to our homes when we are far from our places, it will be helpful in keeping in touch with those people.This smart guest identifier is a device which is integrated at the entrance. There will be video streaming and whenever any person comes near the entrance it will detect the person using IBM Watson visual recognition services and captures a pic and then that picture is sent to the mobile application. In the mobile application, the owner can see the person who is in front of their door and they can also open the door through the mobile application if they want to give access to the visitors.There is also one security button connected to the device on pressing that it will send emergency alerts to the mobile app.

Hardware: Rpi+Camera+Sensors

Software: Python IDE+Mobile App

87. Greenhouse monitoring & control system using IBM Watson

Greenhouse environment, used to grow plants under controlled climatic conditions for efficient production, forms an important part of the agriculture and horticulture sectors. Appropriate environmental conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Automating the data acquisition process of the soil conditions and various climatic parameters that govern plant growth allows information to be collected with fewer labor requirements.By integrating different sensors we can get the environment parameters and according to that, we can control the actuators from the user interface which is created in the Node-Red of IBM Watson platform. All the parameters are stored in the database of IBM Watson services.If any environmental parameters cross the threshold values then we can send the alert notifications using third-party services.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

88. IOT based River Water quality monitoring System using IBM Watson

River water which is used as drinking water is a very precious commodity for all human beings, as drinking water utilities face a lot of new challenges in real-time operation.In this project, we intend to present the design and development of a low-cost system for real monitoring of water quality in an IoT environment. The system consists of several sensors which are used for measuring physical and chemical parameters of water.Using this system a person can detect pollutants from a water body from anywhere in the world. We can monitor the water quality parameters by using some sensors and these sensor parameters are sent to the IBM Watson cloud and stored in the database. These parameters are visualized in the User Interface which is created using Node-Red of IBM Watson platform. Whenever the water quality is not good we can send notifications to authorities through the third party services.

Hardware: ESP32+Sensors

Software: Arduino IDE+IBM Watson

89. Smart Buildings using IBM Watson

In this project, energy saving system by using Green building concept is brought out. The model demonstrates the energy consumption in Conventional Building using energy saving parameters such as Temperature, Humidity, lighting controls and some of the measures. The energy saving system consists of three modes i.e., Eco Mode, Away Mode, manual Mode which turns on/off the electrical appliances when required, all the sensor parameters are sent to the IBM Watson cloud and these values are stored in the database.this data can be visualized in the Node-Red UI and through that user interface(UI) the user can control the appliances

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

90. Smart Health Monitoring using IBM Watson

Keeping track of the health status of the patient at home is difficult. Especially old age patients should be periodically monitored and their loved ones need to be informed about their health status from time to time while at work. So we propose an innovative system that automated this task with ease. Our system puts forward a smart patient health tracking system that uses Sensors to track patient health and alerts the caretakers in case of emergencies.the health parameters can be monitored by using sensors and then these values are sent to IBM Watson cloud and stored in the database.the values are visualized in the form of reports by using Node-Red.in the mobile app, caretakers can view the status and they will be notified in case of emergencies

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

91. Smart Home Automation using IBM Watson

The smart home concept in the system improves the standard living at home. Home appliances are connected to the main control board and these appliances are controlled through User Interface using Wi-Fi communication through MQTT protocol. By integrating sensors we can monitor the weather parameters of the home and by using flame sensor we can detect the fire accidents in the kitchen. These sensor parameters are sent to IBM Watson Cloud and these are visualized in the Node-Red User Interface.If any fire accident is detected then it will alert the people in the house by alarm and it will send notifications for other persons. The user interface which is created in node Red can be replicated in the mobile app. we can even open and close the door by using this application.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

92. Smart parking system for Smart cities using IBM Watson

Generally, people are facing problems on parking vehicles in parking slots in a city. In this project, a new parking system called Smart Parking System is proposed to assist which enables the user to find the nearest parking area and gives availability of parking slots in that respective parking area. And it mainly focuses on reducing the time in finding the parking lots and also it avoids the unnecessary traveling through filled parking lots in a parking area.we can check the status of the parking slot by using sensors. These sensor values are sent to IBM Watson services and these values are stored in the database. We can create a User interface by using Node-Red through which we can show the users the empty slots and the filled slots.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

93. Smart street light management system using IBM Watson

Streetlights are among a city’s strategic assets providing safe roads, inviting public areas, and enhanced security in homes, businesses, and city centers. They’re usually very costly to operate and they use in average 40% of a city’s electricity spending. it’s becoming crucial that municipalities, highway companies, and other streetlight owners deploy control systems to dim the lights at the right light level at the right time, to automatically identify lamp and electrical failures and enable real-time control. Based on the intensity levels we can change the intensity of the street lights from the User interface which is created in the Node-Red platform of IBM Watson services. We can even control all the street lights from that User interface.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

94. Smart waste management system using IBM Watson Services

In many places, the Municipal garbage bins are overflowing and they are not cleaned at the proper time. As a result of which the consequences are severe. It includes overflow of garbage which results in land pollution, the spread of diseases, also it creates unhygienic conditions.There needs to be the system that gives prior information of the filling of the bin that alerts the municipality so that they can clean the bin on time and safeguard the environment. the bin status is monitored by using sensors and these parameters are stored in IBM Watson cloud database. these values are visualized in node red UI and if the bin is about to fill it will send notifications to authorities.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

95. Smart Water management using IBM Watson Platform

Water management is crucial these days. this system provides a smart system for water management.we can check the water levels in the tank using ultrasonic sensors and we can check the flow rate of water by using flow sensors and all these data can be sent to cloud and these parameters can be shown on the User Interface which is created in the Node-Red. From the user interface, we can start and stop the water supply from the main tank to the individual houses. So whenever we start supplying the water we can send notifications to the individuals so that they will be intimated about water supply on time. Notifications are sent through third-party services.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

96. Smart Transportation system using IBM Watson

Automated fleet management solutions help to connect vehicles and monitor driver activities, managers gain an unprecedented level of insight into fleet performance and driver behavior. This enables them to know where vehicles and drivers are at all times, identify potential problems much sooner and mitigate risks before they become larger issues which can impact client satisfaction, impact driver safety or increase costs. The authorities can track their vehicles along with the time. There will be a smart device through which we can get the GPS location and this data is sent to the cloud using Node MCU using MQTT Protocol. We can develop the UI where we can check the vehicle location on the map and we can set the destination of the vehicle predefined. If the vehicle reaches that particular destination then we can notify the authorities along with the location and time through third-party services.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

97. Smart Bill Boards using IBM Watson

The use of Smartboards has widely increased these days. The applications that can be developed using these smart boards have been increasing day-by-day. Smart billboards can also target motorists on the highway or pedestrians passing bus shelters. Companies can attract the customers by doing advertisements. These smart billboards will help them in attracting their customers and make their task easier. In this, we can upload the required data on the billboard simply by giving inputs through a user interface. And we can check the lamps working status which is connected to billboard through the UI.

Hardware: Node MCU+Sensors

Software: Arduino IDE+IBM Watson

98. Smart Home Assistant with cloud integration using IBM Cloud

A home automation project can be made possible by giving voice commands through Alexa. Alexa is capable of voice interaction, music playback, making to-do lists, setting alarms, streaming podcasts, playing audio books, and providing weather, traffic, and other real-time information. Alexa can also control several smart devices using itself as a home automation hub. We can connect the Alexa service to the IBM Cloud using IFTTT which will raise an event and then trigger action to post a message to our Node-Red instance. In Node-Red we pick up the message parse it and send an MQTT message (command) via Watson IOT to our gateway (Raspberry Pi). When the pi receives the command it will switch on and off the appliances based on the commands.

Hardware: RPI+Camera+ Sensors

Software: Python IDE+AWS Cloud+IBM Watson

99. Smart Assistant for Public Parks using IBM Watson

We always love to visit new places. When going to the new place about which we don’t have any idea, having someone who can give us details about all the Infrastructure, history of that place is something that everybody would like. Having a voice assistant which could guide us regarding the whole place like its infrastructure and history is a really a thrilling experience.Our Project aims at providing such a virtual voice assistant cum guide who would guide us not only to the directions to reach a specified destination but also about the infrastructure and History of that public Park. To build it up what we use the cognitive services provided by the IBM Cloud namely Conversation, Text to Speech and Speech to Text etc.

Hardware: Rpi + Mike + Speaker

Software: Python IDE + IBM Watson

100. Smart Assistant for famous City using IBM Watson

Ramoji Film city is really a big place to visit it has many things inside it. It would take nearly one day to visit each and every place inside that film city.we may not have any idea about those places which are inside any selected city. Generally, there will be guides who tell us about everything but sometimes every one may not understand what the guide is telling. Having a voice assistant which will guide us regarding the whole place like its infrastructure and history is really a good experience everyone would like to have.Our Project aims at providing such a virtual voice assistant cum guide for the famous City who would guide us not only to the directions to reach a specified destination but also about the infrastructure and History of that place. To build it up what we use here is the cognitive services provided by the IBM Cloud namely Conversation, Text to Speech and Speech to Text.

Hardware: Rpi + Mike + Speaker

Software: Python IDE + IBM Watson

101. Computer Vision Enabled Restaurants for Customer Support and Feedback

We often visit the restaurants and order the food we want to eat and have them happily. every time when e need to order some other items we need to look here and there for the waiters who are available there. we need to call them and order the food we want. sometimes the waiters may not be available there or they may not see us. in such cases, we need to wait for a long time.In order to overcome this scenario, we can make the restaurants smart. there will be live video streaming in the restaurants and if any person needs to call the waiter he can simply make some gestures. by recognizing the gestures in the video the waiters will be intimated about the customers through the mobile application, then after getting the notifications the waiters can go there and take orders.

Hardware: Rpi + Camera

Software: Python IDE + Android App

102. Crop Growth Analysis using Image Depth Processing for Smart Agriculture

We a know that fertilizers are used for proper and healthy growth of plant fertilizer is a substance which is added to the soil in order to increase the supply of essential nutrients that boost the growth of plants and vegetation in that soil. Sometimes while sprinkling the fertilizers on the farm there may be chances that at some places the fertilizers will be more and in some places, the fertilizer will be less. This may affect the growth of the plant. In some area, the crop will grow and in some areas, it may not grow properly so in order to make sure that the crop grows correctly in the entire area we proposed this system.Firstly we need to capture the top view image of the crop than for this image, we can check the area where the crop height is less and more using Image depth processing. So now we know the area coordinates where we need to sprinkle more fertilizer according to that data we can move the automatic sprinkler mechanism and we can sprinkle the fertilizers with the help of servo motors.

Hardware: Rpi + Camera + Sensors

Software: Python IDE

103. Development of Over the Air Software Update System for IoT Device

With the Internet of Things (IoT) boom, the number and types of smart devices are growing, and so is the amount of software in these devices. Competitive markets lead to shorter time to market and hence halfbaked products, requiring fixes to core software even soon after release. Subsequently, there is a growing need for a comprehensive way to remotely manage these devices. Firmware Over The Air (FOTA) is a cost-effective, reliable, and secure method for updating connected devices. OTA (Over the Air) update is the process of loading the firmware to ESP module using Wi-Fi connection rather than a serial port. Such functionality became extremely useful in case of limited or no physical access to the module. In this project, we can update our devices over the air by using a web application. we can update the programs in the modules through the web application. cloud will be acting as a mediator between devices and Web App.

Hardware: Node MCU

Software: Arduino IDE + Web App

104. Intelligent Beacon Enabled Smart Campus

Beacon technology can empower the chance to offer students a more custom-made experience when it comes to education. This makes it possible to send personalized content to student’s devices all over the day and helps the students in many ways. In this concept, we can send notifications to each student about on-campus events happening near them such as a guest speaker, committee meeting, or a sporting event to make more powerful communication. Through this, the lecturer can even share the exam timetables.There will be a device which will be acting as a beacon. This Beacon will broadcast the desired data. The students will be using a mobile app which acts as a beacon scanner. Whenever the student comes near the broadcasting beacon he receives the notifications and other events related data from that beacon through BLE communication.

Hardware: ESP32

Software: Arduino IDE + Web App + Android App

105. Intelligent Fall Detection Monitoring based on IoT and Convolutional Neural Networks

Fall events are important health issues in elderly people who are alone in homes. Hence, a confident and real-time video surveillance device that pays attention could make their lives better. In this system there is will be live video streaming and in that video streaming we will detect the postures of the person using Convolution neural network and if we find that a person has fallen then we can capture that particular frame and can send the alert notifications along with that frame to the caretakers. Whenever caretakers receive the mobile notifications they can take necessary actions and this may save many lives by providing the first aid at the correct time.

Hardware: Rpi + Camera

Software: Python IDE + Android App

106. IoT based Situation Awareness Support System for Real-time Emergency Management

There will be some situations in some cases where the emergency situations like stampedes or any disasters occur, we get stuck in the situations where we are unable to find whether our friends or family members who are separated from us in that situation is safe. Suppose if we got separated from our loved ones and if they need any help and we are unaware of that. Due to this, we cannot help them and we not even know whether they are safe or not.To overcome this scenario this project helps us in finding our loved ones in the emergency situations. We will create a WiFi-based mesh network where each node will be acting as the access point. every person will be having a mobile application. every person using that mobile app will be identified with the unique ID and whenever the person comes near the node he will be getting some recommendations to get out of that emergency and even he can find his friends location in the mobile app through GPS coordinates.

Hardware: Node MCU

Software: Arduino IDE + Android App

107. Optimized Data Transmission Techniques for Low Power Constrained networks

Generally, the large amount of data transmission takes place between client and server. the client will be giving us the format in which we need to send the data to the client. the client will accept the data if the data is in that particular format only otherwise it will not accept the data from the server. the format contains some tags or keywords to identify and differentiate the data. so every time we make a request to client these keywords will consume a large amount of data which leads to huge load on the client. so as to decrease this load at the client level we can create some algorithms and by considering those algorithms we can encrypt the values which we want to send. we can reduce the amount of data we are sending by encryption.we can calculate the data size while sending the actual data and the encrypted data. the difference in both techniques can be calculated. this process also provides data security.

Hardware: Node MCU

Software: Arduino IDE

108. Self Powered IoT Sensor Nodes with Energy Harvesting Techniques

Energy harvesting is the process by which energy is derived from external sources (e.g., solar power, thermal energy, wind energy, salinity gradients, and kinetic energy, also known as ambient energy), captured, and stored for small, wireless autonomous devices. Sometimes there may be chances that there is no power source at the sensor node or the battery source may be discharged than in those cases we need to change the batteries or else these sensor nodes may stop working. So in these cases to make sure the sensor nodes work properly we can adopt energy harvesting techniques. In this project, without using any external power sources we can supply the power to the sensor nodes. The power is generated by the Solar cell which will get charged by the solar energy. Whenever the solar cell gets charged then it will trigger the circuit and then through this circuit, the sensor node is powered up. When the sensor node gets powered up it will send the sensor value to the main coordinator. We are connecting the current sensor to one sensor node and from that node, the current values are sent to the main coordinator. the values are stored in the cloud and are retrieved to the mobile application.

Hardware: Node MCU + Sensors +NRF

Software: Arduino IDE+ Android App

109. Smart Eco-Friendly Placards for Sports Stadium

Generally, during cricket matches and other sports, the stadiums are occupied by the sports lovers. These people will be using the placards which consist of different signs to express their feelings and cheer up the sportspersons. The placards which are used are made of papers and cardboards and after the match, the people will simply throw them in their places. Due to this, there is a huge paper wastage and it effects the cleanliness management in the stadium. so to reduce the paper wastage and other issues we can design smart PLAcards. Using single placard by pressing different buttons the user can change the signs on the boards and express his feelings. There will be one LED matrix upon which we can display the messages like 4,6, OUT in the case of the cricket match.

Hardware: Arduino+Sensors

Software: Arduino IDE

110. Smart Fish Ponds enabled with Cloud Applications

A fish pond is only appropriate when there is a sufficient amount of land (or preexisting pond), a source of fresh water and a suitable climate. Water quality is an important parameter which dominates the quality of life of marine animals. Thus monitoring the quality of water is very important. Some of the important parameters of water to be monitored are water temperature and water quality. Fishes are cold-blooded creatures and any variation in temperature of water hamper the growth of fishes. Through this project, we can monitor the water quality and water temperature by using some sensors. we can alert the concerned person if the water quality is poor and if the water temperature is inappropriate so that he may take necessary precautions. The fishes have to be feed on time. if the person is not near the fish pond he may not feed them at the correct time and this may cause them a huge loss. to overcome that we can automate the feeding mechanism by keeping some motors.

Hardware: Arduino+Sensors

Software: Arduino IDE+Android App

111. Smart Public Survey System in Cinema Halls

Survey research is often used to assess thoughts, opinions, and feelings of different people and the general public. For companies of any size, research surveys can help gather feedback, measure consumer awareness or assist in the development of new products. Through this, they can get the insights which help them in growing their business fast. To take this surveys generally companies take online surveys or they take the surveys with the help of forms. Through this, everyone may not fill the forms. This system helps us in taking the survey from different people easily.In cinema halls, during intervals, everyone will be leisure and watch the adds which are displayed on the screen. So in this time, we can take surveys. We can display the questions which are to be asked on the Screen and the audience can give their response simply by pressing the buttons which are integrated to their Seats. Through this, we can get the response from the maximum number of people. All the responses are stored in the cloud. There is a web application through which we can view the response of the public.

Hardware: Node MCU + NRF + Sensors

Software: Arduino IDE+ Web App

112. Smart Fire Management System for Industries

The fire detection systems are considered as one of the most important and vital monitoring systems. Accordingly, the fire detection systems need to have a higher accuracy and smarter ways of fire detection. The fire control facilities such as automatic fire alarm system, fixed fire extinguishing system, smoke control system, emergency lighting and evacuation indication system are widely adopted and play an important role in improving fire prevention and control capabilities The smart fire management requires significant surveillance systems to detect and control the fire and fire causing agents automatically. In this project, we can design a smart fire management system with Raspberry Pi. we can integrate a camera and have live video streaming so that we can easily surveillance that place whenever any threat is detected. we can integrate sensors to detect flame, gas leakage and temperature. if any flame is detected then we can start the water supply to the sprinklers by opening the main valve through the web application. if the temperature is high or if any gas leakage is detected then we can switch on the Exhausters.

Hardware: Rpi + Camera +Sensors

Software: Python IDE + Web App

113. Real-Time Color Based Human Tracking and Occlusion Handling using Computer Vision

In today’s world, object tracking and occlusion handling are one of the most significant problems in the research area of computer vision. Visual tracking and occlusion problem occurs in industry, company, school, hospital and other public domain places where abnormal activity happens. They have key problems in numerous applications like traffic control, security, fast object motion pattern recognition and robotics. Hiding of an object by another object during tracking called an occlusion. To remove occlusion we developed a color based algorithm to track and handle occlusion in multiple objects. The proposed approach is used for single object tracking as well as multiple objects in occlusion. There will be a device through which we can get live video streaming and from that, we can track the object. there will be a web application through which we can see the video streaming and track the objects.

Hardware: Rpi + Camera

Software: Python IDE + Web App

114. ESP8266 based wireless web server

This ESP8266 based wireless web server project is built around an Arduino. Currently, ESP8266 is gaining popularity in the field of electronics because it is low-cost, reliable and easily available in the market. Most documents related to this module are in Mandarin (Chinese language) and information provided in the data sheet is not sufficient enough for using ESP8266 for an application.

This IoT project is available at: ESP8266 based wireless web server.

115. IoT Based Smart Camera

Presented here is a project that lets your Raspberry Pi (RPi) turn into an IoT based smart camera and then control and watch live video being captured by this camera on your smartphone from anywhere on the planet. You just need an Internet connection on your RPi and smartphone. This project explains step-by-step procedure to build your own remote smart security camera.

This IoT project is available at: IoT based smart camera.