Kneron compares facial biometric algorithm favorably to lightweight AI models in NIST testing
Kneron has scored the best aggregate rating among all lightweight biometric facial recognition models under 64MB in the NIST Face…
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).
Kneron has scored the best aggregate rating among all lightweight biometric facial recognition models under 64MB in the NIST Face…
OmniVision Technologies has announced the launch of a new 2.9 micron pixel image sensor with 4 megapixel (MP) resolution to…
Facial recognition and edge computing are the two most promising opportunities in the artificial intelligence market in 2019, CyberLink CEO…
Arm has launched a new generation of chips optimized for artificial intelligence applications, which will probably be featured in next…
Synaptics is at Computex this week in Taipei, Taiwan where it will feature a wide variety of its portfolio including…
Low-power programmable chip maker Lattice Semiconductor has enhanced its Lattice sensAI hardware and software stack with a 10-times performance boost…
Google has launched a new smart home hub with biometric facial recognition processed at the edge, and reduced its voice…
This is a guest post by Martin Zizi, founder and CEO of Aerendir Mobile. In March, the world’s first 5G-powered…
Sensory has announced the first full-feature release of its embedded large vocabulary speech recognition platform, TrulyNatural, to help companies create…
Chinese IoT company Ruff has launched a new face tracking module based on “IoT+” machine learning for biometric security on…