This project involves a Raspberry Pi 4 with an MLX90640 thermal camera, capable of live plotting and displaying thermal images. The script provided is for capturing, processing, and visualizing thermal data in real-time.

• Raspberry Pi 4
• MLX90640 thermal camera module

• Python 3.x
• Libraries: numpy, matplotlib, scipy, adafruit_mlx90640

1. Enable I2C on Raspberry Pi: Use raspi-config to enable the I2C interface.

2. Install Python Libraries: Run pip install numpy matplotlib scipy adafruit-circuitpython-mlx90640.

Execute the script to start capturing and displaying thermal data. The script initializes the camera, sets up the live display, and enters a loop for real-time data processing and visualization.

• Live thermal image plotting.
• Data interpolation for enhanced clarity.
• Real-time and averaged thermal view modes.
• Frame rate monitoring for performance checks.

Run the script in a Python environment. The live thermal feed will display in real-time, and the system will periodically capture and display an averaged thermal image.

Note: Ensure all connections and configurations are correctly set before running the script. Loose wires can cause dropped frames and crashes