2MLDA-3 Face Recognition and Thermal Detection Access Control Drop Arm Turnstile Gates
Features:
- Supports two-sided card readers, paper tickets, fingerprint, coins.
- The arm automatically goes down when the electricity is off
- Adjustable working mode and opening time.
- Non-contact detection and notification of abnormal body temperature
- Notifications via email of high temperature fever with a snapshot of that person
- Temperature accuracy of 0.3°C to 0.9°C
- The device is programmed to auto-calibrate to adjust to the surrounding area
- Records up to 10K faces to grant/deny access, up to 6 photos per employee
- Fastest face recognition scanner in the market, scans within 0.2 seconds
- Wide dynamic range to assure background light compensation for better
temperature accuracy reading and face identification - Two-way audio, remote live video monitoring back to control station to provide
audible direction to person being scanned - Anti-spoofing: Deep learning artificial intelligent algorithm which can
differentiate between a real person and a picture or video. - Supports body temperature detection and personnel information binding,
which can quickly confirm personnel information and do body temperature
detection - Built-in deep learning dedicated chip, supports local off line recognition,
10,000 face capacity, face white list (1:N) - WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large
aperture lens for high quality image in various complex lighting conditions
Face Recognition and Temperature Detection Access Control Technology
Control access to buildings, offices, factories, plants and any facility by verifying persons identity with a 99% face recognition accuracy. Does not allow access to anyone with a high fever or without a Mask. 2M terminal software can determine if the person passing by is wearing a mask or not.It can also read his/her temperature and determine based on configurable pre-defined temperature threshold if access should be granted or not.
Module Features:
- Fast recognition time within 0.2 seconds. Various models merge mode are used to reduce false rate and increase pass rate
- Non-contact temperature detection
- Body temperature detection and personnel information binding
- Configurable temperature detection threshold value
- Temperature range between 30ËšC to 45ËšC
- Accuracy between 0.1˚C to ≤0.3˚C, distance is up to 1m
- Learning algorithm maximizes accuracy rate >99% and reduce the false rate <1%
- The dedicated learning chip, supports local offline recognition up to a 10K face capacity, face whitelist (1:N)
- WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
- Anti-spoofing detection based on deep learning algorithm
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