Face Attendance System

Face Attendance System is using 2 cameras to recognize the human face from different angles, It also can get the human temperature by infrared sensor
Face Attendance System is using 2 cameras to recognize the human face from different angles, It also can get the human temperature by infrared sensor. So that it can know who is getting fever or infection and send alarm. It integrate with ANN algorithm (Artificial Neural Networks) to make a better successful rate on face recognition.
Introduction
Face Attendance System is using 2 cameras to recognize the human face from different angles, It also can get the human temperature by infrared  sensor. So that it can know who is getting fever or infection and send alarm. It integrate with ANN algorithm (Artificial Neural Networks)  to make a better successful rate on face recognition. The smart device is built in a machine learning system, so that it can correct the face color and enviroment darkness or light. By using a powerful MCU and high speed camera, it can recognize the human face even if they move fast.  It will use in shopping mall, hotel, office building, apartment and many other situation. 
Features
1 /2.8" width range dynamic CMOS,photo resolution is 1920(H)*1080(V),maximal frame rate is 25 ;
low light level/lll CMOS,0.01Lux@(F1.2,AGC ON);
High performace embeded MCU, it can process photos, face recognize, face tracking, face comparasion.
ANN algorithm (Artificial Neural Networks) machine learning system
Panoramagram and normal photo output.
Support face, age, gender, safety helmet recognition;
Support 2D barcode recognition;
Suport idendify ID card compare with face;
Face recognition speed ≤100ms,Successful rate ≥99.5%;
Support store more than 20000 face photos;
Support Wiegand protocol for access control;
lightning protection、surge-preventing system;
IP66 Waterproof;
Support infrared temperature detection;
High temperature alarm by voice and send to data center ;

Specification

Camera
1/2.8 " de-interlacing CMOS
Low light level
0.01Lux@(F1.2,AGC ON)
Shutter
1/100s~1/10000s
Camera lens
Sony 6mm lens
Screen
7 inch TFT
Day/Night mode
self-adaptive
Wide dynamic range
self-adaptive
Digital noise reduction
self-adjust
TTS
Voice support;
Video format
H.264
code ratio
1024Kbps~4Mbps
Video resolution
1920(H)*1080(V)
Frame rate
25fps
Video settings
Shot, Gain, Contrast ratio, Saturation level, Face exposure compensation
Overlay on video
Time and location
Back light compensation
Support
Working model
Online/Offline
Recognize model
Face, Age, Gender, Safe helmet
Recognize type
1:N、1:1
Detection type
living body
Recognize Speed
≤100ms
Successful rate
≥99%
Distance
1.0-3.0m
Face Storage
2W-5W
Face import
Single photo, import photos, take photo
Photo format
JPEG
Snapshot
panoramagram and normal photos
Photo size
1920*1080(panoramagram)
Local storage
8G
Photo storage
About 500000 photos
People list
Black list, whilte list
Export format
Weggen 26/34/66,relay
Trigger
Video, RFID, ID card, 2D barcode、刷身份证、二维码
SDK
Java、C++、C#
Protocol Support
ONVIF、TCP/IP、HTTP、FTP、485、GB28181、韦根、DNS、NTP
Features
hearte rate, Password, NTP timing
Power supply
DC 12V 2A
Power consumption
≤8W
Working Temperature
-30℃~+70℃
Working Humility
20%-90%
Water Proof
IP66
Protection
Lightning, surge capacity
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