Trust Stamp develops human trafficking victim identification system with facial recognition
Artificial intelligence startup Trust Stamp has developed a system to find victims of human trafficking using facial recognition to match individuals to photos submitted by families of victims to a shared database, Hypepotamus reports. The database is connected to a network, which can alert law enforcement.
U.S. and Mexican Attorneys General announced the system, which presumably could be connected to any facial recognition system deployed at border crossings between the two countries.
Trust Stamp started out providing digital identity verification scores to improve the safety of personal interactions, such as for ride-sharing services, and then developed a hashing technique to apply its technology to the real estate and financial services industries. The company picked up the People’s Choice Award at the 2018 Plug and Play Fintech Expo for its solution combining facial biometrics with liveness detection with government ID and social media data.
Over the past year, the Atlanta-based company has increased its business development, added an AI development team of 10 in Warsaw, Poland, and moved its office to the Advanced Technology Development Center (ATDC), Hypepotamus says.
biometrics | border security | facial recognition | law enforcement | Trust Stamp