Uniview THRM-213 With Stand Access Controller - Facial Recognition - Temperature

Description

Uniview
THRM-213 With Stand Access Controller - Facial Recognition - Temperature.
The wrist temperature detection module provides a critical first step for facility managers and store owners, to ensure customers and employees feel safe as businesses begin to reopen. It provides an accurate non-contact approach to temperature detection at 0.2 seconds results and up to 30 people per minute. Achieving accurate temperature detection and facial recognition concurrently makes it the ideal solution for minimizing exposure, and reducing the spread of contagious diseases to customers, employees and visitors in commercial environments.
Ideally positioned for non-contact, rapid thermal detection at 0.2 seconds
Includes a built-in infrared thermoelectric sensor and temperature measuring module for accurate measurement
2 MP low illumination wide-angle camera with F1.6 large aperture lens captures clear images in diverse lighting environments
Ideally suited for airports, retail, schools, grocery stores, and nursing homes
With the Single Person Wrist Temperature Detection Solution, you can achieve a streamlined and highly accurate detection process to minimize exposure and prevent the spread of illness infected those individuals from entering your building. Wrist detection measures their temperature within 0.2 seconds, and ninty-nine percent accuracy. If they’re running a fever or they’re not wearing a mask in a business that requires one, advanced AI will sound off an alarm.
Advanced thermal detection technology allows you to screen individuals with a mask or without, with a measurement range of 86-113 degrees Fahrenheit, performing at a durability rate of IP 54, it’s ideally suited for indoor high-traffic commercial and industrial spaces.
With a large capacity to hold 10,000 photos and an ultra-fast recognition time of 0.2 seconds, this feature-rich thermal wrist temperature detection is a safe, accurate and efficient tool for all your major entry points.
What’s Included:
(1) PC 7-inch touch screen face recognition terminal
(1) digital detection module
User guide
Power supply
Mounting bracket
Pedestal stand (THRM-S31)
Key Features and Capabilities
Wrist Temperature Detection.
Ideal for providing added security in high traffic places, it allows you to detect elevated temperatures in individuals passing through your business without any contact. Small in size, big on efficiency, it detects up to 30 people per minute.
Mask Wearing Detection.
Advanced analytics can indicate when an individual is wearing a mask and sets off an additional voice alarm to those who aren’t wearing one.
Ultra-Fast Recognition.
From retail stores to busy airports, the wrist temperature detection is the perfect solution for detecting individuals in high-traffic areas like airports and high-vulnerability environments like nursing homes, with a speedy recognition time of 0.2 seconds per individual.
Advanced algorithm for accurate detection.
With a built-in learning chip and a deep learning algorithm model, it provides a face recognition accuracy rate of greater than 99 percent.
-------------
Supportnon-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 ofthe base library for a single person
Support video capture, support ONVIF protocol
Support face, card, and QR code authentication to control door open
Built-in 4G EMMC front end 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
--------------
Specs:
Features Parameter
Description
Operation System
Linux
Face Recognition Accuracy Rate
>99%
Face Recognition Time
200ms
Face Capacity
10,000
Card Capacity
100,000
Storage Capacity
4GB
Event Capacity
8,000(with images)；30,000(without images)
Authentication Mode
Face Whitelist∶ (1∶ N)
Card:(1:N)
Face +Body temperature + Mask Detection
Door Opening Method
Face, Password, Card
Communication Mode
10/100Mbps adaptive network port
Card Type
Mifare1 Card
User Management
Support user library addition, deletion, update
Record Management
Support local recording and real-time upload
Interface
LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1, Lock×1, Door Contact ×1, Exit Button×1
Power Supply
Input 12V±25% DC
Power Consumption
Terminal: 10W
Module: 756mW
Weight
Terminal:641g
Module: 131g
Screen
Touch Screen, Size:7 inch, Resolution: 600×1024
Camera
Dual Lens, 2MP, 1080P
Supplement Light
LED soft light and infrared light
Dimensions (L×W×H)
Forterminal: 134.0mm×33.0mm×305.0mm
For module: 87.0mm×45.0mm×27.0mm
Working Environment
For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing)
For module: 10℃-40℃
Protection Level
Both terminal and module: IP 54
Application Situation
Indoor, No wind