/weather_forecasting

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Drone Detection System with STM32

This project integrates AI capabilities for drone detection using an STM32 board, along with a camera module and radar system.

Hardware Requirements

  • STM32F4 Discovery board (or any compatible STM32 board)
  • Arducam 5MP Plus OV5642 Mini Module Camera Shield
  • Drone detection module
  • Radar system (connected via UART or SPI)
  • Necessary connecting wires

Software Requirements

  • STM32CubeMX
  • STM32CubeIDE or any compatible IDE
  • STM32CUBE.AI tool inside the STM32CUBEIDE
  • TensorFlow Lite for Microcontrollers
  • HAL Library

Camera Module Integration (Arducam OV5642)

Hardware Setup

  1. Connect Arducam Camera Module:
    • SPI Interface:
      • MOSI to STM32 MOSI pin
      • MISO to STM32 MISO pin
      • SCK to STM32 SPI clock pin
      • CS to a GPIO pin on STM32 (e.g., PA10)
      • GND to STM32 ground (GND)
      • VCC to STM32 power supply (e.g., 3.3V or 5V)

Steps to Integrate Camera Module

  1. Configure STM32CubeMX:

    • Set up SPI1 interface for Arducam communication.
    • Configure GPIO pins (e.g., PA10 for CS).

  2. Implement Camera Driver:

    • Implement camera_driver.c/h for SPI initialization, GPIO setup, and image capture.

  3. Update Main Application:

    • Include camera_driver.h in main.c.
    • Initialize the camera module and capture images in your main application loop.

Steps to Build and Run the Project

  1. Setup STM32CubeMX:

    • Open STM32CubeMX and create a new project for your STM32 board.
    • Configure SPI1 for Arducam communication and GPIO pins.
    • Generate the initialization code and open it in STM32CubeIDE.

  2. Write the Embedded Code:

    • Implement camera initialization and image capture in camera_driver.c.
    • Update the main application logic in main.c to handle camera captures and integrate with AI inference.

  3. Compile and Upload the Code:

    • Compile the project in STM32CubeIDE.
    • Connect your STM32 board to your PC and upload the code.

  4. Run the System:

    • Power up the STM32 board.
    • The board will initialize peripherals, capture images from Arducam, and process data for drone detection.

Troubleshooting

  • Ensure all connections (SPI, GPIO) are correctly configured and securely connected.
  • Verify the SPI communication settings (clock polarity, phase, baud rate) match between STM32 and Arducam.
  • Check camera driver implementation (camera_driver.c/h) for correct SPI commands and data handling.

License

This project is licensed under the MIT License.