Innovations in on-device biometrics for crypto, edge devices, and enterprise security unveiled
Local matching, whether on biometric cards, mobile phones or edge devices was a key theme running through the week’s top…
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).
Local matching, whether on biometric cards, mobile phones or edge devices was a key theme running through the week’s top…
A new processor in Amazon’s latest generation of Echo devices are giving the Alexa assistant intriguing capabilities that the company…
The fourth generation of Paravision’s biometric facial recognition has been released with a 36 percent reduction in error rate from…
Qualcomm Technologies, Inc., a subsidiary of Qualcomm Inc., is aiming to grow its slice of the edge AI chip market…
The field of computer vision has been changing at a rapid pace in 2020. It has been accelerated by both…
Chooch AI, a provider of technology and services for visual AI, announced that it has achieved several breakthroughs in the…
San Diego-based Kneron, a developer of AI algorithms and AI-optimized processor designs for use in edge devices such as biometric surveillance…
Rapid advancements in chip designs along with algorithms for biometric voice and facial recognition are expanding the boundaries of what…
Edge AI Breakthroughs: Speed, Accuracy & Deployments Online Sep 10, 2020 09:00 AM Pacific Time (US and Canada) Join a…
BrainChip Holdings and Magik Eye are jointly developing a system for object detection, object classification and biometric gesture recognition that…