Breitbart Tech:
According to a recent report, approximately four out of five people identified by the London Metropolitan Police’s facial recognition system as possible suspects are totally innocent.
A recent report by Sky News has revealed that approximately four out of five people identified by the U.K.’s Metropolitan Police force’s as possible suspects are innocent. Researchers discovered that the system has an 81 percent inaccuracy rate which means that the vast majority of people flagged by the system are not on any wanted lists. The report states that this raises “significant concerns” about Scotland Yard’s use of the technology.
The report concludes that it is “highly possible” that the Met’s usage of the system would be found unlawful if challenged in court due to a number of technical, operational and legal issues. The Live Facial Recognition (LFR) system has been utilized since August 2016 by the Met to monitor crowds, testing the system first at Notting Hill Carnival.
Professor Pete Fussey and Dr. Daragh Murray studied the technologies accuracy rate at six of ten police trials, finding that of 42 individuals identified by the system only eight were verified to be correct. This gave the system an error rate of 81 percent. The Met has an alternative way of determining the error rate, measuring instead the number of successful and unsuccessful matches with the total number of faces processed by the system, given it an error rate of just 0.1 percent. more here
UK has lost it, like half of the US.
That’s because 81% of the suspects were judged by a jury of their “peers”. All Muslims.
Since when do police and government care about an 81% error rate?
They see it as a 19% success rate.
…probably programmed to flag White facial features for racial persecution and SJW points.
…at least they would be in the United States…
“Scotland” Yard is in London, ENGLAND. That is reason enough not to trust them.
Facial Recognition doesn’t work when 80% of Your Population
looks like the GEICO Caveman.
Could it be Microslop software?
The problem is the recognition focuses on their teeth or should I say tooth.