There is a misconception that law enforcement agencies in the U.S. use automated face recognition to actively surveil public spaces. Such a dragnet of mass real-time identification and surveillance would be a violation of the Fourth Amendment to the United States...
The use of automated face recognition in law enforcement is not a binary discussion point. Yet, the political leaders of San Francisco have turned it into just that with recent legislation that bans local government agencies use of the technology. In turn, the safety...
Step #1: Understand your application Common face recognition applications include forensic search, real-time screening, identity deduplication, and access control. Each application will involve different types of facial imagery (constrained or unconstrained) and will...
Suppose you were offered a futuristic virtual reality system on par with The Matrix for just $100. You would purchase it, right?! Now imagine you needed 50,000 sq. ft. of space in your home to run the system. That would change the proposition quite a bit. In many ways...
Rank One delivered another impressive performance in the latest iteration of the NIST FRVT Ongoing benchmark. This report included the ROC SDK v1.18 (listed as “rankone-006” in the report), with the following metrics: ROC SDK v1.18rankone-0062019-02-27 ROC SDK...
Perhaps no technology is improving as rapidly as automated face recognition. For example, over the last four years Rank One has reduced the False Non-Match Rate of our algorithm by over 50x:Other face recognition vendors are similarly improving their accuracy at a...
