SureID to partner with AI firm
05 November 2018 16:48 GMT

SureID has announced a research & development partnership with  Robbie.AI, an innovative company that uses AI technology to provide facial recognition (identity) and emotion prediction (behavior) in natural settings and real time.

The firm said in a blog post that their joint research, which could result in the United States’ first nationwide biometrics gathering system for broad consumer-focused initiatives, is focused around its fingerprinting network. Initially, SureID may use this innovative technology to simplify the login process for our Certified Fingerprint Technicians at existing network locations and provide an additional layer of network security.

“As technology emerges and companies adopt more sophisticated forms of security, it will be crucial for safety and security to authenticate the real identity of technicians and consumers,” says Ned Hayes, General Manager at SureID. “Our combined biometrics database can provide a frame of reference for the development of future security solutions on the market. SureID and Robbie.AI are providing industry-transforming biometrics and identity offerings to make the security world safer, faster, and a better experience for everyone.”

A future use of this innovative technology could include a multiple biometric authentication levels. For example, in the future, job candidates and other users of fingerprint services could register and capture a photo of themselves. Then, when they go to the SureID fingerprinting location, the station could use that photo to identify the person. This new highly secure identity authentication could ensure, via facial recognition technology, that the fingerprints belong to the registrant. Since Robbie.AI’s technology can tell the difference between a real face and a picture or mask,  no one can submit their fingerprints under another identity.

The firm said another benefit of this partnership is safer and more accurate security. Some of the largest US-based companies have had their facial recognition security solutions hacked; consider the iPhoneX’s Face ID a week after the phone release, when hackers duplicated a face with a 3-D mask. A study at M.I.T. Media Lab also points out that existing facial recognition technology shows errors up to 35% in detecting darker-skinned women in photos. However, since Robbie.AI’s technology is based on bone structure geometry, its facial recognition solution is harder to hack and recognizes faces much easier. Even weight gain or loss, glasses, and darker rooms do not impact Robbie.AI’s results.

“It is crucial that facial recognition technology be trained in the ‘wild’ or public domain so that the algorithms are exposed to a variety of situations that are unpredictable – this is what increases the level of accuracy,” says Karen Marquez, CEO of Robbie.AI.

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