The 2 megapixel face recognition machine (binocular) uses the advanced neural network algorithm (CNN), which is a product after tens of millions of algorithm training. It integrates the functions of image acquisition, face detection, face tracking, face comparison and living body judgment. The recognition rate is high and the recognition speed is faster. The off-line dynamic portrait recognition binocular machine does not need the special cooperation of pedestrians, does not need the computer control, is easy to use, simple to install, and is comprehensively ahead of similar products in the industry. It can be widely used in community access control, gateway, office building and other scenes.

Product Description

Basic parameters
sensor	1 / 2.8 "progressive CMOS
Minimum illumination	0.01Lux@(F1.2,AGC ON)
shutter	1/100s~1/10000s
Camera lens	Dual Sony 6mm lens
Screen size	7-inch high clear screen
Day and night parameters	self-adaption
Wide dynamic	self-adaption
Digital noise reduction	Automatic regulation
Voice Announcements	Support, support abnormal temperature alarm;
video
Video standard	H.264
Bit rate	1024Kbps~4Mbps
Video size	1920(H)*1080(V)
Frame rate	25fps
Video settings	Exposure (shutter), gain, contrast, saturation, face exposure compensation
Video overlay	Time, point name
Backlight compensation	Support

Recognition characteristics
Working mode	Online, offline, automatic
Identifying content	Portrait, optional (gender, age, helmet)
Recognition type	1:N,1:1
Detection type	In vivo detection
Recognition speed	Less than 100ms
Discrimination rate	More than 99%
Recognition distance	0.3-0.5m
Portrait Library	2W-5W
Portrait library import	Single picture, batch picture, real-time capture picture import
Capture function
Picture format	JPEG encoding
Snapshot results	Panorama, partial close-up
Picture size	1920 * 1080 (full view), proportion of local close-up according to actual picture
Local storage	Built in 8GB EMMC for network disconnection and continuous transmission
Capture storage	Close up: 640000 PCs (64g TF card inserted) supported by single machine
Capture storage	Panoramic view: 320000 single computers (64g TF card inserted)

pattern classification
Personnel type	Blacklist, whitelist, temporary users
Output mode	Wigan 26 / 34 / 66, relay
Trigger mode	Video trigger, swipe card, swipe ID card and QR code
The two development	Multi platform (Linux, arm, windows), multi language (Java, C + +, C ×)
Network characteristics
Agreement support	ONVIF HTTP/IP HTTP FTP 485 GB28181 to 3888626681DNS NTP
General function	Heartbeat, password protection, NTP timing
work environment
power supply	DC 12V 2A
Power waste	-8W
working temperature	-30'8451;'65374;' 6529170'84511;
Working humidity	20%90%
Waterproof grade	IP66
protective measures	Lightning protection and surge protection

Temperature detection
Sensor interface	IIC interface
Sensor voltage	03V power supply
Error error	+ 0.4 C
Voice broadcast	Support abnormal temperature alarm
Check distance	0.3M - 0.5M

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