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MLX90640 55° FOV Thermal Camera IR Array Breakout Qwiic Compatible - 7Semi

MLX90640 55° FOV Thermal Camera IR Array Breakout Qwiic Compatible - 7Semi

₹4,451.00Price

🌡️ MLX90640 Thermal Camera (55° FOV)

 

🧩 Overview

  • Compact thermal imaging sensor module

  • Captures infrared heat map (not visible light)

  • Based on 32×24 IR sensor array (768 pixels)

  • Qwiic compatible → plug & play I2C connection

 

⚙️ Working Principle

  • Detects infrared radiation (heat) from objects

  • Each pixel measures temperature independently

  • Converts IR → digital temperature values

  • Creates a thermal image (heat map)

 

📊 Key Specifications

  • 🔹 Resolution: 32 × 24 pixels (768 points)

  • 🔹 Field of View: 55° × 35°

  • 🔹 Temperature Range: -40°C to 300°C

  • 🔹 Accuracy: ~±1.5°C (typical)

  • 🔹 Interface: I2C (Qwiic compatible)

  • 🔹 Voltage: 3.3V – 5V

  • 🔹 Current: < 23 mA

  • 🔹 Refresh Rate: 0.5Hz – 64Hz (programmable)

  • 🔹 Thermal Sensitivity: ~0.1K (NETD)

 

🧱 Module Components

  • MLX90640 IR sensor chip

  • IR thermopile array (32×24 pixels)

  • Onboard voltage regulator & level shifting

  • Qwiic / I2C connector (SDA, SCL)

  • Pull-up resistors for I2C

 

🔄 Features

  • Generates real-time thermal images

  • Factory calibrated (no calibration needed)

  • Narrow FOV (55°) → better for longer distance detection

  • Works with Arduino, ESP32, Raspberry Pi, Python

  • Low power → suitable for portable devices

 

🛠️ Applications

  • Thermal imaging cameras 🌡️

  • Human/occupancy detection 👤

  • Industrial monitoring & fault detection 🏭

  • Fire detection systems 🔥

  • Smart home automation 🏠

  • Night vision / robotics 🤖

 

⚠️ Usage Tips

  • Requires powerful microcontroller (ESP32/Raspberry Pi recommended)

  • Basic Arduino Uno may struggle with processing

  • Ensure stable I2C connection (short wires)

  • Use libraries for thermal image visualization

 

✅ Advantages

  • Provides true thermal imaging (not just single-point temp)

  • High sensitivity (detects small temperature changes)

  • Compact and easy integration (Qwiic)

  • Wide temperature measurement range

 

⚠️ Limitations

  • Low resolution compared to real cameras (32×24)

  • Requires heavy data processing

  • Slower frame rate vs normal cameras

  • Costlier than basic temperature sensors

 

🔍 Summary

  • A low-resolution thermal camera module

  • Detects heat patterns across 768 pixels

  • Uses I2C interface with Qwiic support

  • Ideal for thermal imaging, safety, and smart sensing projects

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