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biometrics at the edge

Edge computing is defined as the storage and processing of data by resources deployed in closer proximity to the end-user or data collection point, rather than a distant data center or cloud. This proximity can be used in latency-reducing architectures, and could also have privacy, regulatory, and cost benefits. Many predicted growth areas for biometrics and edge computing overlap, including smart cities and the internet of things (IoT).

 

Qualcomm, Anviz each release AI-powered smart cameras

Qualcomm adds an IoT smart camera processor with support for face biometrics to its line of intelligent security and safety…

 

New Oosto appliance brings facial recognition, video AI to edge for lower TCO

Oosto has launched a new appliance for edge-based video analytics and facial recognition to transform the total cost of ownership for…

 

Innovatrics ports facial recognition to OEM and edge devices through SoC processors

Innovatrics is introducing a new biometric solution called ‘SmartFace Embedded’ into chip processors to bring facial recognition to original equipment manufacturer…

 

Researchers warn edge computing’s biometric privacy promise is conditional

Not for the first time, the privacy community is looking at how biometric data can be most effectively and securely…

 

Edge AI video safety monitoring and surveillance technologies unveiled

Several technology companies have announced new initiatives or products which include biometrics or related capabilities, aimed at strengthening their position…

 

Biometric surveillance vendors adopt the app store model

App stores for edge surveillance cameras are growing with biometrics and computer vision products benign and otherwise. This is significant…

 

FRVT-leading facial recognition algorithm powers Paravision’s expanded product suite

The facial recognition algorithm that placed Paravision atop the leaderboard in National Institute of Standards and Technology testing is powering the…

 

How edge computing, AI will benefit the market for biometric identification technologies

The advancement of edge AI hardware and software presents a significant opportunity to improve the accuracy and security of biometric…

 

How edge computing is set to benefit the market for biometric identification technologies

The advancement of edge AI hardware and software presents a significant opportunity to improve the accuracy and security of biometric…

 

Contactless fingerprinting maturation allows the unification of biometric capture using smartphones

Contactless fingerprinting was one of the hottest areas of biometric development even before the novel coronavirus was discovered in 2019,…

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