# New

See README.md

# Old

## Build the project yourself

- 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`
- 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

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