FA50MC

USB biometric reader with deep learning, face recognition
Binocular camera
Alive body and mask detection
Age, gender and emotional expressions recognition

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FA50MC: USB biometric reader with Deep Learning, Face Recognition

FA50MC is a binocular camera with a high-precision face recognition module that combines image capture, template extraction and identification. The module has a built-in visible light face recognition algorithm that supports face property recognition, live body detection, face capture, face tracking, etc.

The FA50MC performs algorithm calculations at the device and can use JPG images to register directly. Combines with a rich software development interface, the integrated face recognition function can be realized in a low-configuration application platform, which is widely used in attendance, access control, passages and other fields.

2MP Starlight HDR Dual-Sensor with WDR up to 105dB
Detection distance: Facial Recognition - 50 cm to 200 cm
Provides a combination recognition method of facial and palm identification
Illuminance of 0.01 lux to 50,000 lux for facial recognition
Age, gender and emotional expressions recognition algorithm


General	Processor	Quad-core Cortex-47 up to .5G, 1.2 TOPs for INT8
	Image Sensor	Dual 1/2.8” HDR CMOS, 2MP resolution, supports RGB+IR
	Communication Interface	USB 2.0
	Communication Protocol	UVC & HID protocol
	Power Supply	DC5V 1A (min.)
	Operating Temperature	-10°C to 50°C
	Operating Humidity	0 to 90% RH
	Dimensions (LWH)	62 * 38 * 25.3 (mm)
Optical & Image Parameters	Camera Type	Visible light	Near-infrared
	Field of View	D=73°; H=65°; V=40°	D=73°; H=65°; V=40°
	Image Resolution & Frame Rate	720*1280@25fps	720*1280@25fps
		480*640@25fps	480*640@25fps
	Wide Dynamic Range	105dB	105dB
	Distortion	≤0.5%	≤0.5%
	Default Output Format	MJPEG	NV12
	Luminance	0.01 lux to 50,000 lux	0.01 lux to 20,000 lux
	Windows	Windows XP/ Windows 7/ Windows10 (32-bit or 64-bit)
	Android	Android 4.1 or above
ZKLiveFace Algorithm	Angle Tolerance	Yaw ≤±30°, Pitch ≤±30°, Roll ≤±30°
	Face Capacity	50,000 for 1:1 and 1:N comparison
	Face Features Recognition Accuracy	Age (±5 y/o) > 85%
		Gender > 96%
		Emotional expression > 88%
	Facial Recognition Accuracy	FAR = 0.01% when FRR = 1%, FAR = 0.0001% when FRR = 5%
ZKPalm Algorithm	Angle Tolerance	Yaw ≤±30°, Pitch ≤±30°, Roll ≤30°, Bend ≤20%
	Palm Capacity	6,000 for 1:1 and 1:N comparison
	Palm Recognition Accuracy	FAR=0.001% when FRR=0.68%
	Certifications	CE, FCC, RoHS
Module Differentiation	Face Capturer