![]() ![]() Then, the system recognizes the face and matches it to images stored in a database. In a nutshell, a computerized system equipped by a camera, detects and identifies a human face, extracts facial features like the distance between eyes, a length of a nose, a shape of a forehead and cheekbones. But if people store visual data in a brain and automatically recall visual data once needed, computers should request data from a database and match them to identify a human face. The computer algorithm of facial recognition software is a bit like human visual recognition. Other Deep Learning-Based Recognition Use Cases.How We Implemented Deep Learning-Powered Face Recognition App. ![]() How Deep Learning Upgrades Face Recognition Software.Updated : Masked face detection and recognition Only by realizing how face recognition technology works from the inside out, it’s possible to understand what it is capable of. What is it – a time bomb or a technological breakthrough? This article opens up what face recognition is from a technology perspective, and how deep learning increases its capacities. While governments across the world have been investing in facial recognition systems, some US cities like Oakland, Somerville, and Portland, have banned it due to civil rights and privacy concerns. ![]() Use cases include broad application from crime detection to the identification of genetic diseases. Face recognition technology appears in a different light today.
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