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…
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).
The advancement of edge AI hardware and software presents a significant opportunity to improve the accuracy and security of biometric…
Contactless fingerprinting was one of the hottest areas of biometric development even before the novel coronavirus was discovered in 2019,…
Canadian voice biometrics solution provider Fluent.ai has handed Jessica Giaccari the role of vice president of Finance as the company…
Machine learning solutions provider LeapMind has unveiled a new artificial intelligence (AI)-powered image processing model capable of operating on edge…
The ICU Pro edge facial recognition solution from Innovative Technology has been successfully trialed for safe and seamless staff access…
Elisity, a San Jose-based cybersecurity firm, announced it will increase the deployment options for its Cognitive Trust platform to Cisco’s…
Researchers at a Swiss institute say they have created a highly reliable one-camera way to detect face presentation attacks in…
The U.S. federal government is lurching forward on two biometrics fronts — digital ID verification and the Internet of Things….
Innovatrics has released a new cascaded architecture based on edge video processing that can reportedly support real-time video analysis and…
Speech analysis provider Fluent.ai and micro-acoustic devices manufacturer Knowles Corporation have entered into a new partnership focused on fully offline…