UNIVIEW OET-231KH@TF Face Recognition Access Control Terminal with Digital Detection Module

* 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, 3,000 face capacity, face whitelist (1∶ N), 10,000 IC card capacity

* 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 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 2m

* 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 authentication to control door open

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

* Support direct control door lock, exit button, door contact detection to implement access control management

* Support tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active