“Our machines can very easily recognise you among at least 2 billion people in a matter of seconds,” says the chief executive and co-founder of Yitu. The South China Morning Post reports:
Yitu’s Dragonfly Eye generic portrait platform already has 1.8 billion photographs to work with: those logged in the national database and you, if you have visited China recently… 320 million of the photos have come from China’s borders, including ports and airports, where pictures are taken of everyone who enters and leaves the country. According to Yitu, its platform is also in service with more than 20 provincial public security departments, and is used as part of more than 150 municipal public security systems across the country, and Dragonfly Eye has already proved its worth. On its very first day of operation on the Shanghai Metro, in January, the system identified a wanted man when he entered a station. After matching his face against the database, Dragonfly Eye sent his photo to a policeman, who made an arrest. In the following three months, 567 suspected lawbreakers were caught on the city’s underground network. The system has also been hooked up to security cameras at various events; at the Qingdao International Beer Festival, for example, 22 wanted people were apprehended.
Whole cities in which the algorithms are working say they have seen a decrease in crime. According to Yitu, which says it gets its figures directly from the local authorities, since the system has been implemented, pickpocketing on Xiamen’s city buses has fallen by 30 per cent; 500 criminal cases have been resolved by AI in Suzhou since June 2015; and police arrested nine suspects identified by algorithms during the 2016 G20 summit in Hangzhou. Dragonfly Eye has even identified the skull of a victim five years after his murder, in Zhejiang province.
The company’s CEO says it’s impossible for police to patrol large cities like Shanghai (population: 24,000,000) without using technology.
And one Chinese bank is already testing facial-recognition algorithms hoping to develop ATMs that let customers withdraw money just by showing their faces.
Read more of this story at Slashdot.