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Desktop Install Wifi Digital Signage Face Recognition Body Ir Temperature Thermometers Measurement

Desktop Install Wifi Digital Signage Face Recognition Body Ir Temperature Thermometers Measurement

  • High Light

    lcd advertising player

    ,

    lcd advertising display

  • Function
    Face Recognition Body Temperature Instrument
  • Face Capacity
    10,000 Faces(Android), 50,000 Faces(Linux)
  • NPU(face Recogntion Algorithm)
    Inbuilt Convolutional Neural Networks Accelerator NPU,1.2T Hash Rate
  • IR Camera
    1/5" Industrial Low Illumincance Sensor
  • Infrared Temperature Sensor Type
    Thermopile Far-infrared Sensor
  • Fever Detection
    28-37.3℃(programmable)
  • Software
    SDK Support
  • Working Temperature
    -10℃~60℃
  • Storage Temperature
    -20℃~60℃
  • Error Ranfe
    ±0.3℃
  • Detection Distance
    0.3M-1.2M
  • Place of Origin
    China
  • Brand Name
    Genevision
  • Certification
    CE FCC ROSH CCC
  • Model Number
    MG-080D
  • Minimum Order Quantity
    1pcs
  • 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

Desktop Install Wifi Digital Signage Face Recognition Body Ir Temperature Thermometers Measurement

Table type 8inch LCD montoring Facial Recognition device Door Access Control system management 

Face recognition Product Features
1.Supports P6S private protocol + ONVIF 2.6 protocol (downward compatible with ONVIF 2.4). Supports web interface, multiple parameters can be configured directly.
2.Supports intelligent body temperature monitoring, real-time display of synchronized temperature data over video; non-contact measurement of body temperature (0.3M--1.2M).
3. Supports AI Face Recognition and Comparison (0.3M-1.5M) based on Face++ AI algorithm, uses the recognition result to control the door opening action or prompt the voice alarm; support Wiggins protocol.
4. Supports mask recognition, use Face++ AI algorithm to accurately identify whether wearing a mask, and prompt voice announcements
5. synchronously. The recognition accuracy rate reaches 98%.
6. Supports configure network by RJ45 + WIFI hotspot; supports external RS485, USB, alarm I/O output, etc.
7. Supports stand-alone system for face recognition, mask recognition, intelligent temperature monitoring display and voice prompts.
8. Portrait database capacity is 10,000 faces.
9. Abnormal body temperature triggers display alarm/voice alarm/mobile APP alarm.
10. Anti-thunder, anti-surge protection, waterproofing grade IP66.

BodyTemperature Measurement
Multi-points, multiple temperature collection,correction algorithm and other technologies are used to measure the body temperature in real time. For the case of exceeding the set threshold, in addition to the screen display text, warning voice and other prompts, it can also push alarms to the user's mobile

 

Location
Indoor
Internal storage
8GB
CPU option 1
Linux, ARM Cortex A7 1GHz
Face capacity
10,000 faces(Android), 50,000 faces(Linux)
CPU option 2
Android, RK3288, 1.8GHz
Face recognition speed
0.5-1 second
NPU(face recogntion algorithm)
Inbuilt Convolutional Neural Networks accelerator NPU,1.2T Hash rate
Voice announcement
English,italy,france,spanish ect..
RAM
DDR3 512MB
Fever warning
Support
RGB camera
1/2.7" Industrial wide dynamic sensor
IR camera
1/5" industrial low illumincance sensor
Purpose: Face recogntion
Purpose: Live detection
Inbuilt chip: AR0230
Inbuilt chip: GC2145
Resolution: 1920*1080
SOC image processor ISP
1080P Real Video output
1080P Real Video output
Dot dimension: 2.9um*2.9um
0.01Lux low illuminance with 850nm infrared LED, suitable for various of complex light condition
SN ratio: 45dB
Resolution: 1616*1232
Dynamic range: 115dB
Dot dimension: 1.75um*1.75um
Lens structure: 650nm±10nm
SN ratio: 45dB
Iris: 2.0
Dynamic range: TBD
Focus length: 4.35mm
Lens structure: 850nm narrow bandth ±10nm
FOV angle: D=65°H=59°V=38°
Iris: 2.8
Deformation:<1%
Focus length: 2.8mm
Lens combination: 4P+1IR
FOV angle: D=75°H=66°V=43°
100dB wide dynamic range, suitable for complex light condition
Deformation: <1.5%
30 frames/second
Lens combination: 4P+1IR
 
 
30 frames/second
Infrared thermal imaging module
Sensor Type : Thermopile far-infrared sensor
Display
 8 inches lcd monitors
Purpose: Temperature detection
Resolution: 800*1280
Detection distance: 30-100cm
Image spin
0 , 90 , 180, 270 degree spin
Temperature difference: ≤ ±0.2℃
Real time clock
Inbuilt clock IC, setup ON/OFF time
Resolution: 32(H)x 32(V)(Linux)
Network
RJ45 port,100M ethernet
Resolution: 16(H)x 4(V)(Android)
WIFI,support Wi-Fi 802.11b/g/n protocol
Pixel Size : 90um
Hotspot
Maximum Frame Rate :7~9Hz
Functions
Live detection
I/O port
USB OTG
With or without mask
1 TTL, 1 RS232
Guest access control
1 Relay output
Face similarity: 0-1
Audio
Inbuilt speaker at 2W 8Ω
Temperature compensation: 0-1000
Light compensation
Support white light, red LED compensation
Language: English, French(expandable)
Automatic or ON/OFF light compensation
Fever detection: 28-37.3℃(programmable)
SDK
Provided
Image import: USB or PC import
Case material
Aluminum CNC process, IP65
Consumption
12W(Max)
Power
DC12V(±10%)
Mounting type
Mounting or hanging, or by floor stand
Working temperature
-10℃~60℃
Dimension
42*18*13cm
Storage temperature
-20℃~60℃
Weight
1.7 kg

 

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