Face-mask recognition has arrived—for better or worse New algorithms can police whether people are complying with public health guidance. The practice raises familiar questions about data privacy.

From there you need to load up OpenCV and a model trained for face detection, which as luck would have it, tends to be a fairly common application for this technology.

A study of 65 face recognition algorithms on masked photos found they were as good as the top performers in 2017 with no masks.

Americans can't agree on whether face masks are a good way to reduce the threat of transmitting COVID-19. We've even turned mask-donning into a symbol of partisan affiliation; those who would make ...

NIST is widely considered the leading authority on facial recognition accuracy testing, and expected algorithms to improve on identifying people in face masks.

All the cool phones now are doing facial recognition. While that sounds like a big job, you can add face detection and recognition easily to your projects if you can support the OpenCV library. [Li… ...