Adam Harvey: »Reminder that simply wearing a baseball cap and looking down at phone creates difficulties for facial recognition systems« commenting on this study:
»FIVE ran 36 prototype algorithms from 16 commercial suppliers on 109 hours of video imagery taken at a variety of settings. The video images included hard-to-match pictures of people looking at smartphones, wearing hats or just looking away from the camera. Lighting was sometimes a problem, and some faces never appeared on the video because they were blocked, for example, by a tall person in front of them.
NIST used the algorithms to match faces from the video to databases populated with photographs of up to 48,000 individuals. People in the videos were not required to look in the direction of the camera. Without this requirement, the technology must compensate for large changes in the appearance of a face and is often less successful. The report notes that even for the more accurate algorithms, subjects may be identified anywhere from around 60 percent of the time to more than 99 percent, depending on video or image quality and the algorithm’s ability to deal with the given scenario.«