Face Recognition Attendance Machine
FRA7

Face Recognition Attendance Machine

TIPL's face recognition system is built for matching human faces with a digital image. It discusses the challenges faced in face recognition, the face recognition library and building the attendance marking system based on these techniques. Face recognition Attendance & Access Control Unique algorithm enables high accuracy Facial recognition.

Face recognition Attendance & Access Control
Unique algorithm enables high accuracy Facial recognition; supports 22,400 face comparison libraries & more than 100,000 records
Dual sensor enables living detection (Will not recognise photo/ video)
Abundant protocol,Support Windows/Linux SDK & HTTP
Support WDR≥80dB
Mean Time Between Failure (MTBF)>50000 H

FACE RECOGNITION ATTENDANCE MACHINE & ACCESS CONTROL OPTIONS

Supports measurement from reasonable distance while people walk towards machine with real-time
Linux Operate system
Automatically register and record information, avoids manual operation, improve eciency & reduce missing information
Supports binocular live detection (Machine will not recognise Photo or Video)
Unique face recognition algorithm to accurately recognize faces, face recognition time < 0.5 s
Supports Human movement tracking even under strong backlight enviroment, support machine vision optics wide dynamic range ≥80dB
Rich interface protocols, support SDK and HTTP protocols under Windows / Linux and other platforms
Weatherproof construction, Dust and waterproof to IP65
High reliability, MTBF > 50,000 Hrs
Supports USB, RJ45
Support fog penetration, 3D noise reduction, strong light suppression, electronic anti-shake, and have a variety of white balance modes, suitable for various scene needs

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