Description:
- Support non-contact detection of wrist temperature, 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
- 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 3cm
- 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 of the base library for a single person
- Support video capture, support ONVIF protocol
- Support face, card, password and QR code authentication to control door open
- Two-way audio with indoor monitor
- 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
Download : Datasheet of OET-213H-BTS1
Specification
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) |
Measurement Range |
30℃ - 45℃ |
Measurement Accuracy |
0.1℃ |
Measurement Deviation |
≤0.3℃ |
Measurement Distance |
1cm-3cm |
Authentication Mode |
Face Whitelist∶ (1∶ N) |
Card:(1:N) |
Face +Body temperature |
Mask Detection |
Door Opening Method |
Face, Password, QR code, Card |
Communication Mode |
10/100Mbps adaptive network port |
Card Type |
Mifare 1 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 |
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) |
For terminal : 134.0mm×33.0mm×305.0mm |
Working Environment |
For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing)
For module: 15℃-30℃ |
Protection Level |
Both terminal and module: IP 54 |
Application Situation |
Indoor, No wind |