OET-213H-BTS1-BD
- Support non-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 of the 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
- Specification
- Download
- More Products
| 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 |
