How Facial Recognition Tech Is Being Used In London By Shops – and Police
That’s a quote from the BBC by a wrongly accused customer who was flagged by a facial-recognition system called Facewatch. “She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology.”
Facewatch later wrote to her and acknowledged it had made an error — but declined to comment on the incident in the BBC’s report:
[Facewatch] did say its technology helped to prevent crime and protect frontline workers. Home Bargains, too, declined to comment. It’s not just retailers who are turning to the technology… [I]n east London, we joined the police as they positioned a modified white van on the high street. Cameras attached to its roof captured thousands of images of people’s faces. If they matched people on a police watchlist, officers would speak to them and potentially arrest them…
On the day we were filming, the Metropolitan Police said they made six arrests with the assistance of the tech… The BBC spoke to several people approached by the police who confirmed that they had been correctly identified by the system — 192 arrests have been made so far this year as a result of it.
Lindsey Chiswick, director of intelligence for the Met, told the BBC that “It takes less than a second for the technology to create a biometric image of a person’s face, assess it against the bespoke watchlist and automatically delete it when there is no match.”
“That is the correct and acceptable way to do it,” writes long-time Slashdot reader Baron_Yam, “without infringing unnecessarily on the freedoms of the average citizen. Just tell me they have appropriate rules, effective oversight, and a penalty system with teeth to catch and punish the inevitable violators.”
But one critic of the tech complains to the BBC that everyone scanned automatically joins “a digital police line-up,” while the article adds that others “liken the process to a supermarket checkout — where your face becomes a bar code.” And “The error count is much higher once someone is actually flagged. One in 40 alerts so far this year has been a false positive…”
Thanks to Slashdot reader Bruce66423 for sharing the article.
Read more of this story at Slashdot.