Overview

In Industrial Machine Vision systems there are large classes of problems that require real time image processing using headless embedded systems. In order to achieve the real time goals of the system, hardware assisted graphics acceleration can be leveraged.

The AMD R-Series SOC with the Radeon GPU provides the infrastructure required for high performance image processing. A rich ecosystem of Image Processing Libraries such as OpenCV or SciPy have made Linux an excellent platform for research and development of Computer Vision applications.

AMD, Mentor Graphics and Qtechnology have collaborated to create an application that performs high-speed scanning and validation of paper currency. The demonstration in this webinar will show how fake paper currency can be filtered out by scanning the paper currency with light at specific spectra and checking the resulting images.

You will learn about using Mentor Embedded Linux running on the AMD R-Series SOC with Qtechnology cameras for fast prototyping of Industrial Vision Applications. All the stages of an industrial vision project will be described, from the exploration of the different sensors to the profiling of the application to meet project constrains.

Qtechnology cameras provide a modular hardware platform that fits almost any Vision Application. A very deep software stack, composed of components such as video4linux, Gstreamer, OpenCV and GTK can be analyzed in a matter of seconds with visual tools from Mentor Embedded Linux, benefiting from all the computational power of the AMD R-Series SOC. The combination of all these technologies result in a mature, complete and easy to use Vision Framework.

What You Will Learn