Description
OET-213H-BTM32
Uniview Face Recognition Access Control Terminal with Digital Detection Module
Datasheet:
OET-213H-BTM32
- 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
- Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
- 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 white list (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 password 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 opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active
| Features | Parameter |
|---|---|
| Operation System | Linux |
| Face Recognition Accuracy Rate | >99% |
| Face Recognition Time | 200 ms |
| Face Capacity | 10,000 |
| Card Capacity | 100,000 |
| Storage Capacity | 4GB |
| Event Capacity | 8,000 (with images); 30,000 (without images) |
| Authentication Mode | Face White list: (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 | Interface Support local recording and real-time upload |
| Interfaces | LAN × 1, Wiegand Input × 1, Wiegand Output × 1, RS485 × 1, Alarm Input × 2, Alarm Output × 1, USB 2.0 × 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: 134.0 mm × 33.0 mm × 305.0 mm |
| Working Environment | For terminal: -20℃ to 65℃, Relative Humidity < 95% (non-condensing) For module: 15℃ to 30℃ |
| Protection Level | Both terminal and module: IP 54 |
| Application Situation | Indoor, No wind |
