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Android OS Face Recognition And Infrared Thermometer Human Body Temperature Scanner Attendance Terminal Access Control

Android OS Face Recognition And Infrared Thermometer Human Body Temperature Scanner Attendance Terminal Access Control

  • High Light

    lcd advertising player

    ,

    lcd advertising display

    ,

    IIC Face Recognition Infrared Thermometer

  • Sensor Interface
    IIC Interface
  • Language
    16 Languages
  • Audio
    Nbuilt Speaker At 2W
  • Face Recognition Speed
    0.5-1 Second
  • Face Capacity
    10,000 Faces(Android), 50,000 Faces(Linux)
  • Network
    WIFI,support Wi-Fi 802.11b/g/n Protocol
  • Light Compensation
    Automatic Or ON/OFF Light Compensation
  • Function
    1.temperature Measurement 2.Face Recognition 3.Mask Detect
  • Screen Size
    8inch LCD Monitoring
  • Fever Remind
    With Light And Voice Warming
  • Place of Origin
    China
  • Brand Name
    Genevision
  • Certification
    CE FCC ROSH CCC
  • Model Number
    MG-080D
  • Minimum Order Quantity
    1pcs
  • Price
    $500-$600
  • Packaging Details
    Carton box with bubble first, then wooden case package
  • Delivery Time
    5-15 days
  • Payment Terms
    L/C, D/A, D/P, T/T, Western Union, MoneyGram
  • Supply Ability
    10000pcs/Month

Android OS Face Recognition And Infrared Thermometer Human Body Temperature Scanner Attendance Terminal Access Control

Android system face recognition and infrared thermometer time attendance terminal access control

AI Face Recognition & Body Temperature Measurement Access Control Terminal is a complete epidemic prevention solution that integrates AI face recognition, body temperature measurement,mask recognition, access control and attendance capabilities. The site undertakes efficient temperature detection, identification and traffic management,
effectively reducing the pressure on epidemic prevention and control, and also human resource costs.

 

Built-in infrared non-touch temperature measurement module. When people is performing face recogintion, It can measure their forehead and facial skin temperature at the same time, In a not-contact, accurate,reliable,efficient,and non-perceived way,the terminal will issue an unusual warning to those whose body temperature exceeds nornal values,and show their temperature.

8-inch tablet face recognition temperature measurement
Algorithm
Living Binocular
Dimension
24cm*12.8cm*2.5cm
Screen
8 inch temperature measurement
Resolution
1280 * 800
Power supply
DC 12V ± 10%
Operating system
Android 7.1
Power consumption
15 W
CPU
High-performance 32-bit 4-core ARM chip RK3288 mainboard
Dual cameras
2MP wide dynamic, anti-backlight 1/3-inch image sensor, 4.2mm focal length, F2.4 aperture
Communication mode
TCP/IP, support multiple deployment methods for public cloud, private cloud, LAN
Storage
8GB ROM. Support storage of 20,000 face photos and 200k recognition records
Output method
232 serial port, Wiegand output
Interface
RS 232, USB, USB OTG, Wiegand input, Wiegand output, Ethernet, Relay

Product Features
1. Body Temperature Monitor: Set the body temperature threshold, through the associated access control, do not open the door and push the alarm when someone is exceeding the threshold.
2. Intelligent Recognition:By comparison with the face photo database, recognize visitors who are in the whitelist, blacklist or a stranger; both can do face recognition, and also check for wear masks
3. Fever Alarm warning:For abnormal body temperature, no mask, stranger or blacklisted person, push alarm to mobile APP
4. Voice Broadcast:The device itself has a voice broadcast capability, and issues a voice reminder according to a preset result Combined with face recognition function, it can be used to check in and out of work attendance for employees of enterprises and institutions.
5. Attendance: Can connect external voice broadcast equipment, display equipment and alarm equipment.
6. Third-Party Docking: The information obtained locally can be uploaded to the cloud, and the cloud forms reference data through data input and data analysis to provide references for queries and work plans.
7. Cloud Management: The information obtained locally can be uploaded to the cloud, and the cloud forms reference data through data input and data analysis to provide references for queries and work plans.

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