Uniview OET-213H-BTM32

Face Recognition Access Control Terminal with Digital Detection Module

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

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

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 (1N)

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

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

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	1m
Authentication Mode	Face Whitelist(1N)
	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	LAN1, Wiegand Input1, Wiegand Output1, RS4851, Alarm Input2, Alarm Output1, USB2.01, Lock1, Door Contact 1, Exit Button1
Power Supply	Input 12V25 DC
Screen	Touch Screen, Size:7 inch, Resolution: 600×1024
Camera	Dual Lens, 2MP, 1080P
Supplement Light	LED soft light and infrared light
Dimensions (LWH)	For terminal : 134.0mm33.0mm305.0mm
Working Environment	For terminal: 20-65, Relative Humidly95 (non-condensing) For module：-30
Protection Level	Both terminal and module: IP 54
Application Situation	Indoor, No wind