Features:
- Vertical type SS304,L420×W330×H1000mm
- Support Two-side card reader, paper ticket, fingerprint, coins. Unlock time: 0.2s
- Working mode: one way or two way is adjustable
- Working temperature:-35—70 humidity: 5% – 90%
- Support Two-side card reader, paper ticket, fingerprint, coins. Unlock time: 0.2s
- Pass width: ≤550mm
- Pass speed: 35 person/minute
- Input: AC100V~240V; Driving voltage: DC 24v; Open Signal input:12V relay/12V dry contract
- Turnstile arm automatically falls down when electricity is cut down
- Support non-contact detection, support warning people with abnormal body temperature
- Support 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 offline recognition,
- 10,000 face capacity, face whitelist (1:N)
- Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate
- WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
- Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video
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.
Features:
- Fast recognition time within 0.2 seconds. Various models merge mode are used to reduce the false rate and increase the 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 reduces 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 a deep learning algorithm
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