The HLK-FM225 Face Recognition Module is designed for advanced security and smart home applications, utilizing a deep learning infrared face recognition algorithm. It supports both UART and USB communication interfaces and can store up to 100 face features with an impressive recognition accuracy of 98.85%. Suitable for various environments, it operates efficiently between -20℃ and +60℃ and is perfect for intelligent door locks, mobile vending machines, and security monitoring systems.
Specifications of HLK-FM225 Face Recognition Module
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Product Model: FM225
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Communication Interface: UART & USB
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Face Algorithm: Deep learning infrared face recognition algorithm
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Recognition Accuracy: 98.85%
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Number of Faces: Up to 100 face features
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False Recognition Rate (FRR): <0.0001% (one in a million)
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FAR/FRR: <1%
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Recognition Distance: 0.3~1.1m
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Recognition Height: 1.35~2.20m/@20 °~23°/tilt angle
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Recognition Angle: Supports multi-angle face entry, expands the recognition range
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Power Requirement: DC 5.5V~9V @ 1A
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Operating Temperature: -20℃~+60℃
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Storage Temperature: -30℃~+70℃
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Ambient Humidity: 10%~93% without condensation
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Dimensions: 40x15x10.65mm (main board size)