1. Featuring advanced multi-modal live anti-counterfeiting algorithms, this AI face recognition module offers unparalleled security by effectively blocking attacks from photos, videos, and models. It ensures a 99% pass rate with a false recognition rate of less than one in a million. 2. Equipped with a financial-grade liveness detection algorithm, this AI face recognition camera integrates liveness recognition and vision capabilities. It supports photo distribution functions, setting a new standard in security technology. 3. This module facilitates seamless communication via UART/USB and supports video transmission to third parties. It enhances the functionality of smart door locks and allows for both local and remote video output, expanding its utility in security setups. 4. Integrating a deep learning dynamic visible light face recognition algorithm, this module uses binocular 3D liveness detection for accurate face capture and feature extraction. It also stores user information, offering a comprehensive security solution. 5. Designed for efficiency, the module boasts a compact size, low power consumption, and rapid recognition capabilities. It adapts to different lighting conditions, supports varying user heights, and expands recognition angles to improve user experience. Name: Face recognition module Communication interface: UART&USB Face algorithm: supports deep learning visible light face recognition algorithm Power supply requirements: DC5.5V-9V@1A Working temperature: -20-+60 Storage temperature: -30-+70 Environmental humidity: 10% - 93% without condensation Applicable scenarios: smart home, security monitoring, smart door locks, mobile vending machines and other fields Due to different batches, the product appearance and printed text , but it not affect the use.Colour:Black Material:PCB Package Contents: 2 * HLK-FM223 single module Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.