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Uniview H.T OET-231KH@TF

Face Recognition Access Control Terminal with Digital Detection Module

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Description

* 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), 6,000 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 authentication to control door open

* Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)

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

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

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