Features: 1.Adopting advanced algorithms, it can achieve fast and accurate face recognition in complex lighting environments and different angles, with low error rates and improved security 2.With powerful wide dynamic imaging capabilities, it can capture clear facial images even in strong, backlit, or low light environments, ensuring recognition effectiveness 3.Integrated live detection function, effectively preventing fraudulent attacks such as photos and videos, enhancing the system's security and prevention capabilities 4.Fast recognition speed, from facial recognition to identity verification can be completed in seconds, improving user experience and traffic efficiency Wide range of applications: Suitable for fields such as security systems, access control systems, attendance systems, smart homes, security monitoring, smart door locks, mobile vending machines, etc Parameters: Product name: fm225 Communication interface: uart&usb Facial algorithm: supports deep learning infrared facial recognition algorithm Recognition accuracy: 98.85% Number of faces: 100 facial features Recognition distance: 0.3~1.1m Recognition angle: 20 degrees left, right, up, and down, supports multi angle face input, expands recognition range Power supply requirements: dc5.5-9/1a Working temperature: -20℃~+60℃ Working temperature: -30℃~+70℃ Environmental humidity: 10%~93% without condensation Motherboard size: 40 x 15mm Applicable scenarios:smart homes, security monitoring, smart door locks, mobile vending machines, and other fields Color: Black Material: ABS Package Contents: 1 x Module