Facial recognition creates better look at criminals
When criminals are committing a crime, they aren’t likely to look up and smile for the surveillance camera. Even modern facial recognition systems have a tough time getting a positive identity match because the quality of the video image is very poor. However, new biometric software by Animetrics Inc. may help investigators catch the bad guy by providing them a way to get a higher resolution facial image.
Here’s how it works. Investigators select the best facial image they can get from the video surveillance footage. Then, using biometric facial recognition algorithms, the software called ForensicaGPS fills in the gaps and recreates missing or covered regions of the face to generate a 3D image. This new, more realistic facial image is then run through a facial recognition database, and achieves a higher rate of success for positive identity matches.
There are technologies that have been around for years which enable a specialist to manually construct a 3D facial image. One of the most significant benefits of ForensicaGPS is that it automates the generation of 3D facial images, making it something that can be used for daily processing, not just special cases. It uses facial measurements and landmarks (like noses and eyes) to make accurate assumptions of where features should be and how they should be spaced relative to other features to recreate the most realistic image possible.
Animetrics’ technology is currently being used by law enforcement agencies in Switzerland, Qatar, the UAE, and Saudi Arabia. Also, according to the CEO of Animetrics, Paul Schuepp, there is a deal in the works with a U.S. law enforcement agency as well. Facial recognition, similar to iris and finger print scanning we’ve discussed in the past, is another biometric technology that will transform the security and law enforcement industries.
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