Stuff has posted a really good primer on facial recognition technology related to retail loss prevention and security.
There’s actually a brief discussion of confidence scores in there, which is pretty rare in mainstream articles.
Barriers to facial recognition technology are tumbling down (Stuff – New Zealand)
Facial recognition to identify all international passengers at Orlando airport (Business Traveller)
“Instead of handling paper documents, boarding passengers will queue in turnstile-like lanes, stepping onto yellow footprints and looking into a camera to have their face scanned. The scan will then be compared to images obtained from passports or other travel documents to confirm identity.”
The aspect of this program dealing with facial recognition for departing passengers is especially interesting. Airline gate agents probably aren’t trained to detect identity fraud to the degree that customs agents are. Their priority is to board the aircraft as efficiently as possible.
Recording the biometric transaction will also begin to provide rigorous data that may also inform efforts to meet the repeated US Congress requirements for biometric exit technology.
Much more information with pictures and video is available at the Orlando Sentinel.
In a post at Biometrics Update, Ever AI CEO Doug Aley makes the case that facial recognition technology is ready to reduce friction in identity authentication across a range of industries. It’s well worth reading in its entirety.
Is face recognition ready to make its mark? (Biometric Update)
“For as hard as the industry has tried, consider all of the potential security exposures that still exist. Four-digit ATM pin codes. Patient identities verified by Social Security numbers. Lost or stolen physical corporate ID badges. Just the other day, in creating a security profile someone asked me for my mother’s maiden name.
Face recognition technologies are poised to re-write the rules of how transactions and identities are secured. But are we ready?”
We’re ready. The challenge for organizations seeking to adopt facial recognition to improve services is integrating the technology with existing processes and data structures. Our FaceTrac/IdentiTrac platform provides both the facial recognition technology and the integration with existing databases and applications.
The identities of the missing children have been established and efforts are on to help them reunite with their families. (NDTV – India)
“New Delhi: Nearly 3,000 missing children have been traced in four days, thanks to the facial recognition system (FRS) software that the Delhi Police is using on a trial basis to track down such children.
The identities of the missing children have been established and efforts are on to help them reunite with their families.
The Ministry of Women and Child Development (MWCD), in an affidavit to the high court, said that the Delhi Police, on a trial basis, used the FRS on 45,000 children living in different children’s homes. Of them, 2,930 children could be recognised between April 6 and April 10.”
A heartwarming story with a dose of local politics.
Nvidia Making Facial Recognition AI for Smart City Surveillance (Nextgov)
“Tech company Nvidia announced Thursday that it has partnered with AI developer Any Vision to bring a new type of surveillance technology to smart cities.”
Artificial Intelligence is showing up more and more in the context of facial recognition technology.
Google’s popular art selfie tech not accessible in Illinois [and Texas] (Illinois News Network)
“The company hasn’t said why residents of the two states can’t use it. One thing both have in common is laws allowing lawsuits for not protecting biometric information. A key difference, however, is any Illinoisan can file a lawsuit, whereas Texas’ attorney general would have to initiate one there. Washington state has a law similar to Texas but users there reportedly are able to access the function.”
Amazon will soon accept mobile payments using selfies instead of passwords (Silicon Republic)
Amazon has filed a patent application for technology that will allow users to authenticate a payment using a photo or video in a seamless way that doesn’t necessarily require passwords.
“The user is identified using image information which is processed utilising facial recognition. The device verifies that the image information corresponds to a living human using one or more human-verification processes,” the patent reads.