Product model: FM225 Communication interface: UART&USB Face algorithm: supports deep learning infrared face recognition algorithm Recognition accuracy: 98.85% Number of : 100 face features False recognition rate: Less than 0.0001% (one millionth) FAR./FRR.: Less than 1% Recognition distance: 0.3~1.1m 1.35~2.20m/@20°~23°/inclination angle Recognize height: 1.35~2.20m/@20°~23°/tilt angle Recognition angle: left, right, up and down ~ 20°. Supports multi-angle face input to expand the recognition range. 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, etc Colour:Black Material:PCB Package Contents: 1 x Face Recognition 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. Application Scenarios Can be widely used in face scanning scenarios such as smart door locks, smart access control systems, time and attendance machines, 3D face payment systems, smart device unlocking and human-computer interaction applications, and low-power battery face recognition systems The FM225 module is based on an infrared + visible light camera and completes functions such as face liveness detection, face capture, feature extraction/comparison, and user information storage. It realizes face recognition of smart door locks through UART/USB communication and video transmission. Function. The visible light camera outputs video images at the same time to realize the face recognition + viewing function 3D face recognition camera, face recognition + visibility, accurate and reliable offline recognition verification Supports live body detection, resists various attacks, and uses multi-modal live anti-counterfeiting algorithms to effectively shield 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 millionth can be achieved FM225 is a face recognition solution, mainly used in fields such as smart door locks. The module consists of a face algorithm motherboard + binocular camera + infrared LED light