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Aurélien Gauthier 2026-01-05 13:16:02 +01:00
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# Arduino-Photometrics <!-- ![CI][] -->
**Arduino-photometrics** is sub-part of **Robot Go West**, this project aim to collect lighting data of location for training a prediction model for retrieve the location of the sun.
The embedded part is made in **C++**, the update RTC time file and the extraction data measure file are made in **Python**.
The embedded part is made in **C++**, the update RTC time and the extraction data measure files are made in **Python**.
## Arduino mounting
![Arduino mounting](images/montage.drawio.png)
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## Tutorial
In first, you need to mount the arduino (image shown higher in the Readme).
(Optional) You can download and create the support with a 3D printer from [Link Text](https://example.com) made by [id].
<!-- ![Support]() -->
(Optional) You can download and create the support with a 3D printer from [PotPhotoResistance](https://git.cohabit.fr/gowest/gowest/src/branch/photosupport/photosupport/) made by **Jhodi Avizara**.
Now, you can simply download the project from this webpage.
Open VSCode with the PlatformIO extension on the project directory.
@ -40,7 +39,8 @@ After the electrical mounting, place **print_min_max_res()** in the main loop fu
Make a scale range by putting place photo sensors in the dark, for exemple with a box (darkest as possible).
Then illuminate photo sensors with the direct lightin sun or a lamp (prefere the brightess as possible).
Once the previous steps are done, write arduino min max serial printed data by print_min_max_res() into min_res and max_res for each sensor.
The soft will normalise your data for compresse them in uint_8 type (smaller information to store).
The soft will normalise your data for compresse them in uint_8 type (smaller information to store).
**TODO:** Improve this description parts
### RTC update