UNIVIEW OET-213H-BTS1 Thermal Wrist Temperature Measurement Terminal UniView

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Digital Temperature Measurement Module for Wrist Temp Scanning along with Face Recognition & Access Control.

EP-S31 Stand Available but Not Included with 213H-BRS1

Temp Scanner is also available with Face Temp Scanner (UNV-T-213H-BTM32)

OET-213H-BTS1  Digital Temperature Measurement / Face Recognition Access Control Terminal using the highest quality and latest technology available. The BTS1 has been properly documented and Cleared by the U.S. FDA has also earned a Temperature Calibration Certification. The BTS1 includes face recognition technology designed to easily integrate with most all Access Control Systems & Devices with precise recognition rates, large storage capacity and fast recognition, which all integrates into this non-contact temperature detection technology. The digital temperature measurement 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. 

• Temperature Measurement from Wrist for better accuracy rate.

Product Features
1. Support non-contact detection, support warning people with abnormal body temperature

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

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

4. Non-contact 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 1 meter

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

6. Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N)

7. Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate

8. WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes

9. Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video

10. Support face metering and human metering for fast adapting to ambient light

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

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

13. Support add up to 6 photos of the base library for a single person

14. Support video capture, support ONVIF protocol

15. Support face, card, password and QR code authentication to control door open

16. Two-way audio with indoor monitor 

17. Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images)

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

 

MORE:

Temperature range: 30℃-45℃
Temperature accuracy: 0.1℃
Temperature deviation: 0.5℃
Measurement distance: 1cm-2.5cm
Application situation: Indoor(10℃-45℃), no wind

Temperature Measurement
1.Real-time temperature detection and screen display.
2.High temperature voice alarm.
3.Snap photos and overlay temperature OSD information.
4.Privacy mode: Only measure wristtemperature, not capturing face image

Face Recognition
Accuracy Rate：>99% without a mask；>90% with a mask
Fast Face Recognition Speed：0.2s
High Picture Capacity：Up to 10,000face capacity

Mask Wearing Detection
1.Support face recognition with mask.
2.UIcanindicatewhetherhe/sheiswearingamaskornot.
3.Voicealarmforthosewhodonotwearamask.