Surveillance cameras sitting on top of over 100,000 lampposts in Singapore could soon help authorities pick out and recognise faces in crowds across the island state.

Key points: The cameras could potentially register 1.8 billion faces in less than 3 seconds

The cameras could potentially register 1.8 billion faces in less than 3 seconds All of the countries 110,000 lampposts are to be included in the sensor network

All of the countries 110,000 lampposts are to be included in the sensor network The sensors could also monitor air quality, water levels and traffic counts

The plan to install the cameras, which will be linked to facial recognition software, is raising privacy fears among security experts and rights groups.

The government said the system would allow it to "perform crowd analytics" and support anti-terror operations.

GovTech, the Singapore government agency in charge of a "Lamppost-as-a-Platform" pilot project scheduled to begin next year, has given companies until May to register their interest in providing technology for the network.

"As part of the LaaP trial, we are testing out various kinds of sensors on the lampposts, including cameras that can support backend facial recognition capabilities," a GovTech spokesman said in an emailed statement.

"These capabilities may be used for performing crowd analytics and supporting follow-up investigation in event of a terror incident."

Singapore says the project is part of a broader "Smart Nation" plan to use cutting-edge technology to improve people's lives and has pledged to be sensitive to privacy.

Video surveillance networks are common in cities like London or New York. But Ian Wilson, a security lecturer at Australia's Murdoch University, said he believed that Singapore's would be different in that it might involve extensive facial recognition technology.

'The AI revolution'

Such technology has become commonplace in Chinese cities like Beijing and Shanghai.

Yitu Technology, a Chinese company that has recently opened its first international office in Singapore, said it was weighing a bid with its partners.

The company says its facial recognition platform is capable of identifying over 1.8 billion faces in less than 3 seconds. Singapore has a population of 5.6 million people.

"We see a big potential in this country. They are ready for the AI revolution" said Lance Wang, Yitu's general manager for Southeast Asia, Hong Kong and Macau.

Some top officials in Singapore played down the privacy concerns.

Sorry, this video has expired Cameras in China are used to identify people and vehicles as part of a "social credit" system.

Prime Minister Lee Hsien Loong said last week that the Smart Nation project was aimed at improving people's lives and that he did not want it done in a way "which is overbearing, which is intrusive, which is unethical".

The spokesman for GovTech said: "The need to protect personal data and preserve privacy are key considerations in the technical implementation of the project."

The government also hopes to use other sensors on the lamp posts to monitor air quality and water levels, count electric scooters in public places, and collect footfall data to aid urban and transport planning, GovTech said.

GovTech did not say how many lampposts would be used in the initial pilot project, but a former head of Singapore's civil service, Peter Ong, said last year that the country aims to bring all of its 110,000 lampposts into the sensor network.

Adam Schwartz, senior staff attorney at the US-based rights group Electronic Frontier Foundation, urged Singapore and other governments not to adopt facial recognition surveillance technology.

He said he was concerned such technology could be turned on political opponents or used to curb free speech by deterring peaceful protest.

Facial recognition technology typically allows authorities to match people picked up on cameras with those in databases.

Singapore's only opposition party in parliament, The Workers' Party, declined to comment.

The streets of Singapore could host up to 100,000 facial recognition cameras. ( Reuters: Edgar Su )

Reuters