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Sensors

Original GY-AMG8833 Infrared Thermal Imager Sensor

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LKSEN00074

Rs.7,200.00 Rs.15,000.00

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Original GY-AMG8833 Infrared Thermal Imager Sensor

The GY-AMG8833 Infrared Thermal Imager Sensor features an 8×8 IR thermal array for accurate temperature detection. Ideal for human presence detection, thermal imaging cameras, and temperature mapping projects, this sensor provides precise readings over I2C and supports easy integration with microcontrollers.

Specification

  • Model: GY-AMG8833
  • Manufacturer: Panasonic (AMG8833 sensor)
  • Type: Infrared thermal imager sensor
  • Resolution: 8×8 pixels (64 pixels total)

2. Thermal Detection Specifications

  • Temperature Detection Range: 0°C to 80°C
  • Accuracy: ±2.5°C
  • Field of View (FOV): 60° x 60°
  • Frame Rate: 10 frames per second (FPS)
  • Object Detection Distance: Detects human presence up to 7 meters

3. Communication Interface

  • Interface: I²C (Inter-Integrated Circuit)
  • I²C Address: Default 0x69
  • Voltage Levels: Operates on both 3.3V and 5V systems
  • I²C Speed: Supports up to 400 kHz

4. Electrical Specifications

  • Operating Voltage: 3.3V to 5V DC
  • Power Consumption: Low power (typical current: ~4.5mA)
  • Operating Current: 4.5mA (typical)

5. Environmental Characteristics

  • Operating Temperature: -20°C to 80°C
  • Storage Temperature: -40°C to 125°C
  • Humidity: Non-condensing, 0% to 95% relative humidity (RH)

6. Sensor Output

  • Pixel Output: Each of the 64 pixels provides an output value corresponding to the detected temperature
  • Data Output: 8-bit output for each pixel, where each pixel’s value is converted to a temperature

7. Size & Weight

  • Dimensions: 12.4mm x 12.4mm x 4.5mm (sensor module)
  • Weight: 2-3 grams

8. Applications

  • Human body temperature detection
  • Motion detection
  • Night vision
  • Temperature gradient measurement
  • General thermal imaging tasks for IoT and DIY projects

9. Additional Features

  • Interrupt Functionality: Supports configurable interrupt for detecting heat changes
  • Noise Filter: Low-pass filter for reducing noise in the output signal
  • Simple Integration: Ready-to-use libraries available for most microcontrollers, including Arduino and Raspberry Pi

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