Facial recognition can perform lots of beneficial tasks, from securing facilities, to searching for lost children. However, some pushback has arisen from those concerned about the privacy implications of technology that can pick individual faces out of a crowd.
A unique manifestation of that concern is the Hyperface Project, which aims to defeat facial recognition by using confusing patterns printed onto clothing, according to The Next Web. These patterns are designed to look like facial features, confusing surveillance systems by making people’s faces illegible to recognition technologies.
The Hyperface technology prevents computers from scanning your face by flooding “an algorithm with what it wants, oversaturating an area with faces to divert the gaze of the computer vision algorithm,” said Hyperface creator Adam Harvey.
It’s unclear how effective HyperFace will be, with Harvey promising that it “offers a higher confidence score for a nearby false face by exploiting a common algorithmic preference for the highest confidence facial region.” However, facial recognition tech firms may have to take into account such countermeasures in future product offerings.
Pratik Dhebri is senior director of product management at Veritone. He works with AI developers and cognitive engine providers to architect and monetize algorithms and applications. Learn more about our platform and join the Veritone developer ecosystem today.