
Uniview Face Recognition and Forehead Temperature Terminal with Floor Stand
SKU: OET-213H-BTM32S
The Uniview OET-213H-BTM32S digital detection face recognition and non-contact fever control terminal. Ideal for non-contact fever control at main building access points
1189.00 including VAT and Free UK Delivery
In Stock
Details
The Uniview OET-213H-BTM32S digital detection face recognition access control terminal is an access control device with precise recognition rate, large storage capacity and fast recognition. It integrates UNV face recognition technology and non-contact temperature detection technology. The digital detection module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas.
We offer free Royal Mail 1st Class delivery on all orders
Features
- Non-contact detection of forehead temperature, with warning when abnormal body temperature is detected
- Simultaneous facial recognition control (Privacy safe, GDPR compliant)
- Configurable temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
- Non-contact forehead temperature detection module, measurement range is between 30°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 0.3°C, and measurement distance is between 1cm to 3cm
- Deep learning face detection algorithm, 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
- Anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video
- 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
- Screen sleep mode, keep the minimum brightness to prevent glare at night
- Face, card, password and QR code authentication to control door open
- Two-way audio with indoor monitor
- Tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active



- Specifications
- Operating System
- Linux
- Face Recognition Accuracy Rate
- >99%
- Face Recognition Time
- 200ms
- Face Capacity
- 10,000
- Card Capacity
- 100,000
- Storage Capacity
- 4GB
- Event Capacity
- 30,000 (with images)
- Measurement Range
- 30°C - 45°C
- Measurement Accuracy
- 0.1°C
- Measurement Deviation
- ≤0.3°C
- Measurement Distance
- 1cm-3cm
- Authentication Mode
- Face Whitelist∶ (1∶ N), Card:(1:N), Face + Body temperature
- 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°C~ +65°C, Relative Humidly<95% (non-condensing)
- Protection Level
- Both terminal and module: IP 54
- Application Situation
- Indoor, No wind