This page shows some best practices.

# Camera Placement

- Move the Camera as close as possible(~4cm), this will help get rid of reflections. -> focus can be adjusted by turning the outer black ring of the camera.
- If the LED reflections are too strong, put tape over the LED to defuse the light
- Change the ImageSize to QVGA under "Expert mode" configuration when close enough, this will be faster and is often good enough for digital recognition.

# Reflections

- Try to get ride of the reflections by rotating the camera, so that the reflections are at positions, where no number is.
- By using the external LED option, you can place WS2812 LEDs freely away from the main axis.
- Users report, that a handy cover foil could also help

# Post-processing

- Filter out the Number "9", as "3" will often be misread for a "9" and void every number between 3 and 9 due to it being negative flow.
- Split the readings into two, while the decimal numbers might move to fast to be recognized, at least the slower moving part will produce a correct reading. -> keep in mind that the offset needs to be adjusted, a.e if you have a comma reading of "3", it needs to become "0.3". This can be done wherever the data ends up being sent, like home assistant using sensor templates.
- If you are using a low resolution and only digital mode, processing can often be done in <1 minute. Check the logs to confirm how fast it is and then set the interval accordingly under "Expert mode" in configuration, as the normal mode will lock you to 3+ minutes.

- [ ] Todo condense from various discussions, eg. ~~https://github.com/jomjol/AI-on-the-edge-device/issues/765~~ and https://github.com/jomjol/AI-on-the-edge-device/discussions/984
- [ ] Todo add images and more in-depth explanation

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