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Waveshare Long-wave IR Thermal Imaging Camera HAT (B) For Raspberry Pi, Options For  90° FOV, Raspberry Pi IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header — image 1
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Waveshare Long-wave IR Thermal Imaging Camera HAT (B) For Raspberry Pi, Options For 90° FOV, Raspberry Pi IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header

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IoT Cameras for premium buyers

The Waveshare Long-wave IR Thermal Imaging Camera HAT (B) For Raspberry Pi, Options For 90° FOV, Raspberry Pi IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header by WAVESHARE is a premium iot cameras designed for premium buyers. It features Resolution: 80×62 pixels and Field of View (FOV): 45° or 90°.

₹11,647
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Total: ₹11,647
Buying tip: A top-tier option — the best features and quality available in this category.
Estimated delivery: 25 Aug8 Sept
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Quick Specs

Resolution: 80×62 pixels
Field of View (FOV): 45° or 90°
Operating Temperature (°C): -40°C to 400°C
Power Rating: 5V
Shipping Weight: 0.02 kg
Shipping Dimensions: 11 × 7 × 3 cm

Ideal For

Photography and videographySecurity monitoringLive streaming
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SKU: robu-2301262Category: IoT Cameras

About This Product

The Waveshare Long-wave IR Thermal Imaging Camera HAT (B) For Raspberry Pi, Options For 90° FOV, Raspberry Pi IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header by WAVESHARE is a premium iot cameras designed for premium buyers. It delivers reliable performance at an accessible price.

Key Specifications

  • Resolution: 80×62 pixels
  • Field of View (FOV): 45° or 90°
  • Operating Temperature (°C): -40°C to 400°C
  • Power Rating: 5V
  • Shipping Weight: 0.02 kg
  • Shipping Dimensions: 11 × 7 × 3 cm

Why Buy from Elecvora?

Elecvora sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

The Waveshare Long-wave IR Thermal Imaging Camera HAT (B) for Raspberry Pi features an 80×62 pixel array and supports thermal imaging with 45° or 90° FOV options. Using hybrid technology (microbolometer and thermopile), it provides accurate non-contact temperature measurements with a ±1.5°C accuracy. The camera offers continuous thermal video streams at up to 25 FPS and is ideal for applications like fever detection, security monitoring, industrial temperature control, and smart home integration. It connects via a 40-pin GPIO header and operates within a temperature range of -40°C to 85°C.

Thermal Camera HAT (B), front view

Useful Link:

https://www.waveshare.com/wiki/Thermal_Camera_HAT

Features:

  1. Hybrid Technology: Microbolometer + thermopile for accurate thermal imaging.
  2. Thermal Imaging: Detects IR distribution, calculates object surface temperatures, and generates thermal images.
  3. Shutterless Design: Continuous thermal imaging and video stream output.
  4. Pixel Calibration: Each pixel is calibrated for uniformity and temperature accuracy.
  5. Noise Equivalent Temperature Difference (NETD): 125mK at 1Hz refresh rate.
  6. Video Stream: Up to 25 FPS thermal imaging output.
  7. FOV Options: 45° (basic) or 90° (wide-angle) lens for different applications.

Applications:

  1. Non-contact Temperature Monitoring: Long-term temperature tracking.
  2. Fever Detection: Useful for health monitoring (e.g., for infants, elderly).
  3. Smart Home & Security: Thermal monitoring in smart buildings, lighting, and security systems.
  4. Industrial Control: Temperature management, heat trend analysis, and motion detection.
  5. Intruder Detection: Security applications with motion detection and analysis.

Package include:

1 x Thermal-45 Camera HAT (B) 2 × 20 PIN female header 1 x Screws pack

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.