Artificial intelligence (AI) facial recognition vendor Robbie.Ai is teaming up with fingerprint identification provider SureID on a joint research project that could one day lead to the first nationwide biometrics gathering system.
The project is focused on expanding SureID’s network of fingerprinting kiosks, which is currently the only single-source nationwide network for fingerprint enrollments at scale. The technology could help simplify fingerprint technician login and authentication upon initial login for better network security.
Further expansion of the technology could be used across multiple biometric authentication levels, such as for job candidates that can use the same initial device to both register and capture a photo of themselves. This would allow for an added layer of security and a speeding up of the fingerprinting and facial recognition process for job candidates, the companies said.
The goal of the collaboration is to accelerate the development of a biometrics scanning solution that could be used to respond to customer issues immediately, alert people to fraud in real time and potentially provide instant authentication to vehicles, the internet of things and smart homes.
The technology could also lead to safer and more accurate security and help companies prevent their facial recognition security solutions from being hacked.
"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," said Karen Marquez, CEO of Robbie.AI.
