OET-213H
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Industrial grade, high stability, high-end luxury appearance
Ā Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rateĀ
99
, false rateĀ
1
Ā Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face white list (1
N)
Ā Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate
Ā WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
Ā Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video
Ā Support face metering and human metering for fast adapting to ambient light
Ā Suggested height for face recognition: between 0.8m and 2.2mļ¼face recognition distance: 0.2m to 2.9m
Ā Support screen sleep mode, keep the minimum brightness to prevent glare at night
Ā Support add up to 6 photos of the base library for a single person
Ā Support video capture, support ONVIF protocol
Ā Support face, card authentication to control door open
Ā Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)
Ā Support direct control door lock, exit button, door contact detection to implement access control management
Ā Support tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active