Traffic police in the southern Chinese city of Shenzhen have always had a reputation for strict enforcement of those flouting road rules in the metropolis of 12 million people.
Now with the help of artificial intelligence and facial recognition technology, jaywalkers will not only be publicly named and shamed, they will be notified of their wrongdoing via instant messaging – along with the fine.
Intellifusion, a Shenzhen-based AI firm that provides technology to the city's police to display the faces of jaywalkers on large LED screens at intersections, is now talking with local mobile phone carriers and social media platforms such as WeChat and Sina Weibo to develop a system where offenders will receive personal text messages as soon as they violate the rules, according to Wang Jun, the company's director of marketing solutions.
More from the South China Morning Post:
Kim Jong-un wife's fashion sense a hit with China's public
China's secrecy over Kim Jong-un's visit was part of a long-standing tradition
US and China in talks to shield soybeans and other farm products from trade war tariffs
"Jaywalking has always been an issue in China and can hardly be resolved just by imposing fines or taking photos of the offenders. But a combination of technology and psychology … can greatly reduce instances of jaywalking and will prevent repeat offences," Wang said.
First-tier Chinese cities like Beijing and Shanghai have already employed AI and facial recognition technology to regulate traffic and identify driver's who violate road rules, while Shenzhen traffic police began displaying photos of jaywalkers on large LED screens at major intersections starting in April 2017. In other law enforcement applications, police at the Zhengzhou East high speed rail station in Henan province have been equipped with smart glasses with facial recognition software that can identify wanted criminals, while Beijing police are using the world's first surround-body camera with inbuilt facial recognition technology.
For the current system installed in Shenzhen, Intellifusion installed cameras with 7 million pixels of resolution to capture photos of pedestrians crossing the road against traffic lights. Facial recognition technology identifies the individual from a database and displays a photo of the jaywalking offence, the family name of the offender and part of their government identification number on large LED screens above the pavement.
In the 10 months to February this year, as many as 13,930 jaywalking offenders were recorded and displayed on the LED screen at one busy intersection in Futian district, the Shenzhen traffic police announced last month.
Taking it a step further, in March the traffic police launched a webpage which displays photos, names and partial ID numbers of jaywalkers.
These measures have effectively reduced the number of repeat offenders, according to Wang.
The next step – informing the errant pedestrians by text or Weibo instant messaging – could have the added benefit of eliminating the cost of erecting large LED screens across the cities, he said.
The system will also be able to register how many times a pedestrian has violated traffic rules in the city and once this number reaches a certain level, it will affect the offender's social credit score which in turn may limit their ability to take out loans from banks, Wang said.
Li Yi, chief fellow at the Shanghai Academy of Social Sciences, said the act of publicly displaying images and selected private information on offenders could prove effective in China where many people are still indifferent to traffic rules.
"Still, we always need to strike a balance between law enforcement and privacy protection," Li added.
Shenzhen has one of the most transient populations in China, so many people do not have their information registered in the database of the traffic police, even though anyone staying in the city for more than 30 days is required to do so. That means authorities can only currently identify 10 per cent of offenders using the AI facial recognition system. Wang said that percentage is expected to surge after the databases of different government departments are set to merged in the near future.