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Hotels Washing Dispenser Face Recognition Infrared Thermometer

Hotels Washing Dispenser Face Recognition Infrared Thermometer

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    Washing Dispenser Face Recognition Infrared Thermometer


    800×1280 Face Recognition Infrared Thermometer

  • Credit Card Reader
    None (optional IC Card Reader, ID Card, ID Card)
  • Face Detection
    Supports Detection And Tracking Of Multiple People At The Same Time
  • Face Library
    Up To 30,000
  • 1 N Face Recognition
  • 1 1 Face Comparison
  • Stranger Detection
  • Identify Distance Configuration
  • UI Interface Configuration
  • Place of Origin
  • Brand Name
  • Model Number
  • Minimum Order Quantity
  • Delivery Time
    -5 days
  • Payment Terms
    L/C, D/A, D/P, T/T, Western Union, MoneyGram

Hotels Washing Dispenser Face Recognition Infrared Thermometer

Hotel Door Face Sensor Control With Soap Fast Washing Dispener in the Shelf with Automatic


Quick points:

It can be used with access gates and attendance for communi-
ties, office buildings, schools, hotels, scenic spots, transporta-
tion hubs and other public service places.
Model MG-08D
Camera Resolution 200W pixel
Type Binocular wide dynamic camera
Focusing distance 50-150cm
White balance automatic
Screen Size 8.0inch IPS LCD
Resolution 800×1280
Processor CPU RK3288 Quad core /RK3399 six core /MSM8953 eight core
Parts Memory EMMC 8G
  Fill light LED and Infrared double fill light
Interface Network module Supports Ethernet,wireless(WIFI)
Audio Support 2.5W/4R speaker
USB port 1 road USB OTG,1 road USB HOST standard A port
Serial 1 road RS232 Serial port
Function Relay output 1 door open signal output
Wiegand interface One Wiegand 26/34 output, one Wiegand 26/34 input
Upgrade button Support Uboot upgrade button
Wired network 1 RJ45 Ethernet socket
Face Detection Supports detection and tracking of multiple people at the same time
Face library support Up to 30,000
1: N face recognition Support
1: 1 face comparison Support
Stranger detection Support
Identify distance Support
UI interface configuration Support
Remote device upgrade Support
Device interface Interfaces include device management, personnel / photo management, record query, etc.
Deployment method Support public cloud deployment, privatized deployment, LAN use, stand-alone use
Infrared thermal imaging module Human temperature detection Support
Temperature detection distance 1 Meter
Temperature measurement accuracy ≤ ±0.2
Temperature measurement range 10~42
Thermal Field of View 32 X 32
Visitors' temperature is normal and released directly Support
Body temperature over temperature alarm Support (body temperature alarm value can be set)
General parameters Protection class IP65, certain outdoor dustproof and waterproof function
Power DC12V(±10%)
Operating temperature 10~60
Storage temperature -20~60
Power consumption 13.5W(Max)
Installation method Gate bracket installation
Equipment size 238.24*128*25(mm)
Weight 1.45kg

 8 inch face recognition detector

Washing dispenser hands cleaning face recognition

Hotels Washing Dispenser Face Recognition Infrared Thermometer 2

hands clean face sensor machine

Care and Maintenance
1. During the installation and use of the product, all electrical safety
regulations must be strictly observed.
2. Please use the power adapter provided by the regular manufacturer.
For specific requirements of the power adapter, see the product parame-
ter table.
3. When installing on the gate, please make sure that the product is
installed firmly.
4. If the product does not work properly, please contact the after-sales
service personnel. Do not disassemble or modify the product in any way.
(The company does not assume any responsibility for problems caused by
unauthorized modification or repair.
5. Do not immerse the product in water. When the product is installed
outdoors, try to use it with the rain cover provided by our company.
6. Please understand that you are responsible for properly configuring all
passwords and other related product security settings, and keeping your
username and password properly.
7. If the equipment does not work properly, please do not disassemble it
for repair, otherwise it will affect the equipment warranty.
8. Avoid extreme or extreme environments such as extreme high
temperature (or low temperature), high humidity, vibration, radiation, and
chemical corrosion during installation and use.
Hotels Washing Dispenser Face Recognition Infrared Thermometer 4
Installation method (take SW-1081D as an example)
① Mark the 4 fixing holes of the wall mount bracket on the
pre-installed wall.
Drill the holes and fix the plastic expansion bolts in the position-
ing holes on the wall at one time.
Note: The wall-mounted fixing plate is recommended to be 1.35
meters from the ground.
② Fix the wall mount bracket on the wall with 4 countersunk
head tapping screws.
③ Fix the module on the hook of the wall mount bracket, and fix
the lower hole of the device with the combination screw below.
Hotels Washing Dispenser Face Recognition Infrared Thermometer 5
1. Adopt 8-inch IPS full-view LCD display.
2. Industrial-grade appearance, waterproof and dustproof design, stable and reliable.
3. Support 3W face database. The 1: 1 comparison recognition rate is more than 99.7%, the 1: N comparison recognition rate is more than 96.7%@0.1% misrecognition rate, and the live detection accuracy rate is 98.3%@1% misrejection rate. Face recognition pass speed is less than 1 second.
4. Supports accurate face recognition and comparison while wearing a mask.
5, using industrial-grade binocular wide dynamic camera, infrared and LED double compensation at night.
6. Support optional Rockchip RK3288 quad-core processor, Rockchip RK3399 six-core processor and Qualcomm MSM8953 octa-core processor.
7. Support human body temperature detection, temperature display, 1-meter ultra-long body temperature detection, 0.2 ℃ error, support and automatic alarm for abnormal body temperature, second-level detection speed, and real-time export of attendance temperature measurement data.
8, support for ID card reader, fingerprint reader, IC card reader, two-dimensional code reader and other peripheral expansion.
9. Support system-level, APP offline-level, APP + background network-level API docking, complete documentation, and support secondary development.