AI-on-the-edge-device/code

Build

Preparations

git clone https://github.com/jomjol/AI-on-the-edge-device.git
cd AI-on-the-edge-device
git checkout rolling
git submodule update --init

Build and Flash within terminal

See further down to build it within an IDE.

Compile

cd code
platformio run --environment esp32cam

Upload

pio run --target upload --upload-port /dev/ttyUSB0

Alternatively you also can set the UART device in platformio.ini, eg. upload_port = /dev/ttyUSB0

Monitor UART Log

pio device monitor -p /dev/ttyUSB0

Build and Flash with Visual Code IDE

• Download and install VS Code
  • https://code.visualstudio.com/Download
• Install the VS Code platform io plugin
  • 
  • Check for error messages, maybe you need to manually add some python libraries
  • e.g. in my Ubuntu a python3-env was missing: sudo apt-get install python3-venv

• git clone this project

  • in Linux:

    git clone https://github.com/jomjol/AI-on-the-edge-device.git
    cd AI-on-the-edge-device
    git checkout rolling
    git submodule update --init
    

• in VS code, open the AI-on-the-edge-device/code

  • from terminal: cd AI-on-the-edge-device/code && code .

• open a pio terminal (click on the terminal sign in the bottom menu bar)

• make sure you are in the code directory

• To build, type platformio run --environment esp32cam

  • or use the graphical interface:
  • the build artifacts are stored in code/.pio/build/esp32cam/

• Connect the device and type pio device monitor. There you will see your device and can copy the name to the next instruction

• Add upload_port = you_device_port to the platformio.ini file

• make sure an sd card with the contents of the sd_card folder is inserted and you have changed the wifi details

• pio run --target erase to erase the flash

• pio run --target upload this will upload the bootloader.bin, partitions.bin,firmware.bin from the code/.pio/build/esp32cam/ folder.

• pio device monitor to observe the logs via uart