Access Face Recognition Module AI Onboard Binocular Camera with Cat'S-Eye View Live Body Detection

Access Face Recognition Module AI Onboard Binocular Camera with Cat'S-Eye View Live Body Detection Description

AI face recognition camera, liveness recognition + cat eye vision, financial grade liveness detection algorithm/support photo distribution function.
Supports live detection and resists various attacks. It uses multi-modal live anti-counterfeiting algorithms to effectively block attacks from photos, videos, and various models and dummies. Under the premise of a 99% pass rate, a false recognition rate of less than one in a million can be achieved.
An integrated module integrating deep learning dynamic visible light face recognition algorithm, based financial-grade binocular 3D liveness detection algorithm, equipped with binocular cameras to complete face liveness detection, face capture, feature extraction/comparison and user information storage and other functions.
Through UART/USB communication and video transmission with third parties, the face recognition function of door locks can be realized, and video images can be output to realize local or remote cat eye functions.
It has the characteristics of small area, low power consumption and fast recognition. The module not only enhances the adaptability to ambient light and enhances anti-counterfeiting capabilities, but also improves the usability for people of different heights, expands the recognition angle, and greatly improves the user-friendly experience.

It can be widely used in facial recognition scenarios such as door locks, access control systems, and and attendance machines, 3D face payment systems, device unlocking and human-computer interaction applications, and low-power battery face recognition systems
Name:Face recognition module
Communication interface:UART&USB
Face algorithm:supports deep learning visible light face recognition algorithm
Recognition accuracy:98.85%
Number of faces:100 face features
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