OET-213H

Registrate para ver precios !

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 (1N)

*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

* Suggested height for face recognition: between 0.8m and 2.2m,face 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

SKU: OET-213H CategorĆ­as: ,

Descripción

OET-213H incluye el modulo OEP-BTS1-BD-NB para sensor de temperatura
Face Recognition Access Control Terminal

Carrito de la compra

0
image/svg+xml

No products in the cart.

Seguir comprando