Call us FREE on 0800 488 000
X
X

Please Log In Below

Forgotten Password?
Retry
Login
loading Gif
Sorry! You can't edit your cart on this page.
Sorry! This item could not be added to your cart as it is no longer available from Comms Express.
Please check the quantity you are adding and try again.
The following item has been added to your cart.
Product Code:
Options:
Qty:
Unit Price:£
View Cart
Checkout
Your cart is empty.
Subtotal:
£0
Remove all items from cart
Are you sure? Yes No
Learn more about how
to collect Data Points
for free gifts.
Comms Express Finance Options
Request A Quote
View Cart
Checkout
Cookie Policy×

Hi there! Our website may store cookies on your computer in order to give you the best experience, such as remembering the items in your cart so you can continue shopping where you left off.

By continuing to use our site, you give consent for cookies to be used.

Spend £100.00 for
FREE DELIVERY.
Free delivery excludes heavy and bulky products
Browse Categories
In Stock: 1-2 Days
£POA
£POA Inc VAT.

If you wish to enquire about this product please contact us on
0800 488 0000

/assets/images/gallery/large/1595942062OET-213H-BTM32-1.png

Uniview OET-213H-BTM32 Face ID Temperature Scanner

Uniview OET-213H-BTM32 Face ID Temperature Scanner

with Stand

by Uniview
See more product details
Version:
Part No:FEOET-213H-BTM32
Manufacturer No:OET-213H-BTM32
Delivery: In Stock: 1-2 Days

/assets/images/gallery/large/1595942062OET-213H-BTM32-1.png

Uniview OET-213H-BTM32 Face ID Temperature Scanner
More Related Items
Click to change options
No. Sockets:
Input Type:
Surge Protect:
Apply
£24.00 Ex VAT
Qty:
Click to change options
Length:
Colour:
Apply
£0.78 Ex VAT
Qty:
Click to change options
Colour:
Apply
£19.91 Ex VAT
Qty:
Email product to a friend
X
  • Scroll to top
    Uniview OET-213H-BTM32 Face ID Temperature Scanner
    with Stand
    Product Overview

    The OET-213H-BTM32 digital detection face recognition access control terminal is a access control device with precise and fast recognition rate, with large storage capacity, which integrates UNV face recognition and non-contact temperature detection technology.

    Face recognition and temperature detection can be achieved at the same time, warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas.




    Product Features

    Support non-contact detection, support warning people with abnormal body temperature
    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 temperature detection module, measurement range is between 30°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 0.3°C, and measurement distance is 1 meter
    Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate >99%
    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 withvarious 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, password and QR code authentication to control door open two-way audio with indoor monitor
    Built-in 4GB eMMC storage, stable and reliable, up to 8,000 events capacity (with images)
    Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
    Product Overview

    The OET-213H-BTM32 digital detection face recognition access control terminal is a access control device with precise and fast recognition rate, with large storage capacity, which integrates UNV face recognition and non-contact temperature detection technology.

    Face recognition and temperature detection can be achieved at the same time, warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas.




    Product Features

    Support non-contact detection, support warning people with abnormal body temperature
    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 temperature detection module, measurement range is between 30°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 0.3°C, and measurement distance is 1 meter
    Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate >99%
    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 withvarious 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, password and QR code authentication to control door open two-way audio with indoor monitor
    Built-in 4GB eMMC storage, stable and reliable, up to 8,000 events capacity (with images)
    Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
    Email product to a friend
    Print product details
    View Keywording: