A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
This raises questions about how ‘good’ this technology is.
But it also raises the question of how well your police can deal with false suspicions and false accusations.
No it doesn’t. For every 10 million good detections you only hear about the 1 or 2 false detections. The issue here are the policies around detections and how to verify them. Some places are still taking a blind faith approach to the detections.
Considering the impact of these faults, it is obviously not good enough.
But that really says more about the user then the tech. This issue here isn’t that the tech has too many errors, it’s that stores use it and it alone to ban people despite it having a low but well known error rate.
“You need to have a suitable face for our face recognition?” ;-)
No. Read again. The stores did not use technology, they used the services of that tech company.
And it is absolutely predictable that some stores would do that, because humans. At very least, companies deploying this technology need to make certain that all the store staff are properly trained on what it does and doesn’t mean, including new hires who arrive after the system is put in. Forcing that is going to require that a law be passed.