Face Recognition Biometric Time Attendance Access Control
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Facial Recognition is a technology used for identifying or verifying a person from an image or a video. There are various methods by which facial recognition system works, but in general, they work by comparing selected facial features from a given image with faces within a database,.
Face Recognition Biometric Time Attendance Access Control is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analyzing patterns based on the person’s facial textures and shape
Specification of Face Recognition Biometric Time Attendance Access Control:
Card | IC Card (13.56Mhz) |
Screen | 5-inch IPS screen with 800*480 resolution |
Card Capacity | 1000 |
Face capacity | 2000 |
Log capacity | 10,000 (Auto override) |
Face verification | Single and Multi Face |
Detecting Distance | 0.3 – 5M |
Capture sensor | Progressive scan CMOS |
Resolution | 1600 x 1200 |
Field Angle | 51º |
Focal length | 3.5 mm |
Aperture | F2.8 |
Resolution | 2 million pixels |
CPU | 8 core 1.5GHz |
Power supply | DC12V/2A |
Verification time | <0.7 S |
Communication | TCP / IP |
Ambient Temperature | -10ºC∼50ºC |
Environment Humidity | 10%∼90% |
Protection | IP 42 |
Dimension | 200*95*24mm |
How Face recognition Works in attendance system?
Face Recognition Biometric Time Attendance Access Control Uses a digital camera to capture the image of the face, a computer for processing and analysis and an output device for displaying the identification result. It is straightforward to identify any person from different facial images. The face recognition system is a high-speed and reliable technology.
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