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).
CyberLink will integrate its FaceMe Security biometric facial recognition with leading server solutions provider ASA Computers’ technology under a newly-formed partnership,…
Advantech has released an AI facial recognition edge SRP (solution-ready package) enhanced with a deep learning algorithm to provide fast…
IoT technology has been widely adopted in work environments and critical industry infrastructures, with common integrations including traffic management, water,…
The privacy, bandwidth, and other potential benefits of performing facial recognition directly on edge computing devices will push the market…
Brainchip and video and imaging technology-maker Socionext Inc. have partnered to offer an Artificial Intelligence Platform reference design for edge…
Edge solution provider Kneron has been included among winners of Business Intelligence Group’s Artificial Intelligence Excellence Awards program for its…
The Indian video surveillance market is preparing to deepen the capabilities of biometric camera systems, according to the chief executive…
Altek Huajing Technology has integrated CyberLink’s FaceMe AI facial recognition engine to develop intelligent edge computer vision for AI security…
Wireless connectivity and smart sensing technology provider Ceva’s DSP (digital signal processor) and speech recognition software for conversational AI and…
In its ongoing fight to secure the IoT with FIDO passwordless authentication, the FIDO Alliance has established a dedicated IoT…
