How edge computing is expected to benefit the biometric identification technology market

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The advancement of cutting-edge AI hardware and software offers a significant opportunity to improve the accuracy and security of biometric identification technologies. How? ‘Or’ What? The simplest answer is that edge computing can help by processing data closer to where it is created.

This Biometric Update white paper, authored by Jim Davis, Editor-in-Chief of EdgeIR.com, is designed as an introduction to understanding the basics of edge computing and its impact on biometric identification systems.

The article examines the architecture of edge computing (where edge computing is used), then applies this framework to contextualize biometrics and edge computing use cases such as:

· Biometrics at the edge of smart devices and on-premises data centers
· Retail
· Warehouses/Manufacturing
· Automotive/Transportation
· On-access and regional edge biometrics
· smart city

The paper also highlights some of the key trends in cutting-edge artificial intelligence processors and algorithms that will enable further advances in edge-powered biometrics.

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Article topics

biometric identification | biometrics | state-of-the-art biometrics | AI edge | advanced computing | facial recognition | IoT | smart cities | video surveillance | white paper

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