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Shenzhen Xingfanwei Technology Development Co., Ltd.
TEL:0755-82537381
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  • GY-AMG8833 IR 8x8 infrared thermal imager array temperature measurement thermal imaging sensor module
  • GY-AMG8833 IR 8x8 infrared thermal imager array temperature measurement thermal imaging sensor module
  • GY-AMG8833 IR 8x8 infrared thermal imager array temperature measurement thermal imaging sensor module

GY-AMG8833 IR 8x8 infrared thermal imager array temperature measurement thermal imaging sensor module

Category:Gy module

Panasonic's AMG8833 infrared thermal imager sensor is an 8x8 infrared thermal sensor array. When connected to your microcontroller (or Raspberry Pi), it will return a set of 64 individual infrared temperature readings via I2C. This is like those fancy thermal imaging cameras, but compact and simple for easy integration.

Service hotline:0755-82549718

  • Product introduction
  • Brand: XF

Download:

https://pan.baidu.com/s/1PIydWqgyHtrZCywoopNFzg
Extraction code:o73k

Module power supply: 3-5v
Provide arduino test code

Panasonic's AMG8833 infrared thermal imager sensor is an 8x8 infrared thermal sensor array. When connected to your microcontroller (or Raspberry Pi), it will return a set of 64 individual infrared temperature readings via I2C. This is like those fancy thermal imaging cameras, but compact and simple for easy integration. AMG8833 is Panasonic's next-generation 8x8 thermal infrared sensor and offers higher performance than the previous AMG8831. The sensor only supports I2C and has a configurable interrupt pin, which can trigger when any single pixel is higher or lower than the threshold you set.
The temperature measurement range of the AMG8833 infrared camera sensor is 0°C to 80°C (32°F to 176°F),
The accuracy is +-2.5°C (4.5°F). It can detect humans from a distance of up to 7 meters (23) feet. The maximum frame rate is 10Hz, which is very suitable for creating your own human body detector or mini thermal imager. We use this breakthrough code on Arduino or compatible (the sensor communicates via I2C) or Raspberry Pi using Python. On the Pi, with the help of image processing from the SciPy python library, we can insert 8x8 grids and get some very good results!

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