Thermal Body Temperature Camera System Face Recognition OET-213H-NB UNIVIEW

Description

This listing is for a Thermal Body Temperature Camera System Face Recognition OET-213H-NB and an
OEP-BTS1-NB
.
See details below.
USA SELLER !!!
Ships from Austin, Texas !!!
We are a Mom and Pop local business!!!
All the money is spent back in the local and US economy!!!
Thank you for the business!!!
FAST SHIPPING!!!
What's included?
1 computer camera systems    part number:
OET-213H-NB
1 digital detection module part number: OEP-BTS1-NB
I have never used one of these before. Nothing appears broken. I found an AC adapter that allowed me to power it up and it is included,  No further testing has been done. I have no idea how these are supposed to work. Returns will not be accepted.
Items were purchased at a live local auction.
I humbly have no idea how these work but they sure do retail for over 0.00 each
Selling to someone who can figure these out and makes some $$$$
Nothing appears broken. A 12V AC adapter is included, so I was able to power it up at least.
Returns will not be accepted.
This is truly high tech surplus. Figure it out! Make $$$$
What info I did find on the Web. Please do your own research.
Face Recognition Access Control Terminal with Digital Detection Module
* Support non-contact detection of wrist temperature, support warning people with abnormal body temperature
* Support the detection of wrist distance, improve the accuracy of temperature measurement
* Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
* Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
* Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 4cm
* 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, 10,000 face capacity, face whitelist (1∶ N)
* 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 and F1.6 large aperture lens 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 2.9m
* 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, and QR code authentication to control door open
You will receive what is shown in the photos only with nothing additional.
We can offer no support on these and returns will not be accepted.