High Performance Wall Mount LCD Display 1280 * 800 Resolution IPS Panel

wall mount android Rk3288 2G 8G 8 inch IPS LCD screen infrared thermal imaging with IC reader

Smart Facial recognization Body temperature LCD Display
* High performance CPU * Face recognition * Support mask recognition *Infrared thermography *Multi language recognition* Different Installation

* Designed as a high-tech access control measure, our kiosks are ideal for use on entry to healthcare settings, supermarkets and retail shops, factories, transport hubs, office buildings, schools and universities,general public
and more to help prevent virus spread and maintain a healthy environment

Smart facial recognition
* It can be used to allow entry to pre-vetted individuals or store temperature readings for a user. Setting your own threshold for temperature readings, the device will give a successful message or warning with traffic light style LED lights.
* Industrial-grade binocular wide dynamic camera, night infrared and LED dual photo flood lamp
Face recognition pass speed is ~ 1 second
Database capacity for 30,000 faces
Supports recognition and comparison of faces with surgical masks on
The 1: 1 comparison recognition rate is more than 99.7%, the 1: N comparison recognition rate is more than 96.7% at a 0.1% misrecognition rate, and the live detection accuracy rate is 98.3% at a 1% misrejection rate

Durable, Commercial-grade hardware
* 8-inch IPS full-view LCD display
* Commercial-grade, waterproof and dust-proof design which is stable and durable
* Built-in speakers provide verbal alerts including warnings for abnormal temperatures
Accurate body temperature detection
* The kiosks support human body temperature detection and temperature display, with a marginal measurement error of plus or minus 0.1 degrees
A distance of 0.5 meters is recommended for most accurate readings, with 1 meter being the longest distance at which temperature can be read
It only takes a few seconds for detection and an alarm will sound automatically when temperature abnormality is detected - at a threshold set by you