OET-213H-BTS1
Face Recognition Access Control Terminal with Digital Detection Module

* Supportnon-contact detection of wrist temperature, support warning people with abnormal body temperature

* Support the detection of wrist distance, improve the accuracy of temperature measurement

* Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection

* Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value

* Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 4cm

* Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1%

* 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

* Support face metering and human metering for fast adapting to ambient light

* Suggested height for face recognition: between 0.8m and 2.2m, face recognition distance: 0.2m to 2.9m

* Support screen sleep mode, keep the minimum brightness to prevent glare at night

* Support add up to 6 photos ofthe base library for a single person

* Support video capture, support ONVIF protocol

* Support face, card, and QR code authentication to control door open

* Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)

* Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active

Features Parameter Description
Operation System Linux
Face Recognition Accuracy Rate >99%
Face Recognition Time 200ms
Face Capacity 10,000
Card Capacity 100,000
Storage Capacity 4GB
Event Capacity 8,000(with images);30,000(without images)
Authentication Mode Face Whitelist∶ (1∶ N)
Card:(1:N)
Face +Body temperature + Mask Detection
Door Opening Method Face, Password, Card
Communication Mode 10/100Mbps adaptive network port
Card Type Mifare1 Card
User Management Support user library addition, deletion, update
Record Management Support local recording and real-time upload
Interface LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1, Lock×1, Door Contact ×1, Exit Button×1
Power Supply Input 12V±25% DC
Power Consumption Terminal: 10W
Module: 756mW
Weight Terminal:641g
Module: 131g
Screen Touch Screen, Size:7 inch, Resolution: 600×1024
Camera Dual Lens, 2MP, 1080P
Supplement Light LED soft light and infrared light
Dimensions (L×W×H) Forterminal: 134.0mm×33.0mm×305.0mm
For module: 87.0mm×45.0mm×27.0mm
Working Environment For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing)
For module: 10℃-40℃
Protection Level Both terminal and module: IP 54
Application Situation Indoor, No wind
ผู้เข้าชม : 32
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