“Using Artificial Intelligence as an enabler, these next generation systems will demonstrate a level of autonomy and a form of adaptiveness, which will allow users to overcome the challenges that real world scenarios present, such as poor, sub-standard biometric collection and attain their most extreme objectives, such as high performance stand-off, long-range facial recognition.” – Matt McCrann, Director of Sales and Business Development, Camvi
Fresh off a major deployment in the APAC region, Palo Alto-based Camvi Technologies further elevated its profile in the government sector with a presentation at this year’s FedID event in Tampa.
The company’s Director of Sales and Business Development, Matt McCrann, gave a talk entitled, “Biometrics on the Edge: AI-Powered Solutions for Next Generation Biometric Systems,” detailing how artificial intelligence could be used to enhance biometric technologies such as facial recognition. McCrann then proceeded to lead a workshop on AI and deep learning in biometrics.
“Next generation biometric systems need to be developed with three core competencies: Scalable, Adaptable and Interoperable,” explained McCrann. “Using Artificial Intelligence as an enabler, these next generation systems will demonstrate a level of autonomy and a form of adaptiveness, which will allow users to overcome the challenges that real world scenarios present, such as poor, sub-standard biometric collection and attain their most extreme objectives, such as high performance stand-off, long-range facial recognition.”
Together with Camvi’s demos of its facial recognition technology, including CamviEdge and the CamviClient mobile solution, the exercises gave Camvi a good portion of the spotlight, with the company reporting afterward that McCrann’s presentation was “well received” by the government officials and industry experts in attendance.
This all came in the wake of Camvi’s announcement that its facial recognition technology had been used to deliver biometric access control to this year’s ASEAN Foreign Ministers’ Meeting in Singapore, all of which suggest that the company is becoming an increasingly notable solutions provider for the government biometrics market’s increasing appetite for AI-driven facial recognition technology.
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