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

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

MT Code
UNV_OET-231KH@TF
Manufacturer Code
OET-231KH@TF
Brand
UNIVIEW
UNIVIEW
extra sconto di benvenuto
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), 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

Data Sheet
Codice Produttore OET-231KH@TF
Brand UNIVIEW
Need Help?
See prices, shop online, and manage your order history
Forgot Password
Not a Customer Yet?
Register
Need Help?
Customer Support
Phone and WhatsApp
Send Email
Add to Cart also
You might be interested in
Recently viewed