PV50M

Embedded biometric module with deep learning facial recognition;
Binocular camera;
Alive body and mask detection;
Age, gender and emotional expressions recognition.

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PV50M: Edge Computing Facial Recognition

PV50M is a binocular camera module designed based on high-performance heterogeneous processors. The binocular camera module has built-in facec recognition algorithms. Facial recognition algorithm helps in face detection, alive body detection, mask detection, and can recognize the age, gender, emotional expressions, and identity of a user with his/her face.

These binocular camera modules can be combined with software interfaces to efficiently integrate face recognition functions into the platform according to the application’s needs and platform functions.

It would be the desired solution suitable for time & attendance, access control, and many other fields.

2MP Starlight HDR Dual-Sensor with WDR up to 105dB
Detection distance: Facial Recognition - 50 cm to 200 cm.
Illuminance of 0.01 lux to 50,000 lux for facial recognition
Built-in near-infrared fill light and intelligent switch control based on an image detection algorithm.
A thorough SDK available, supporting 3 primary OS (Windows, Android & Linux)
Image transmission carried out by the UVC protocol
Comparison and results are delivered through HID protocol


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
Recognition Module	Facial Recognition Module