Current Meter Arduino Project

Overview

This project is designed for an operating systems course and involves using an Arduino to measure electrical current. The measured data is saved and can be accessed from a Linux system, where it can be plotted for analysis.

Project Structure

The project is organized into three main directories: arduino, linux and ML.

Arduino Directory

The arduino directory contains all the files necessary for running the current measurement on the Arduino. The key files include:

adc.c / adc.h: Code for the Analog-to-Digital Converter.
arduino.c: Main file for Arduino operations.
Makefile: Makefile to facilitate the build process
avr.mk: Makefile for AVR-specific settings.
uart.c / uart.h: Code for UART communication.
timers.c / timers.h: Timers initialization.
utils.c / utils.h: Utility functions.

Linux Directory

The linux directory contains the files needed to compile, run, and plot data on a Linux system. Key files include:

main.c: Main file for Linux-side operations.
Makefile: Makefile to facilitate the build process.
plot.sh: Script to plot the collected data.
serial_linux.c / serial_linux.h: Code for serial communication with the Arduino.
utils.c / utils.h: Utility functions.

ML Directory

The ML directory contains the files needed to train a Linear Regression model to fit the sample measuraments:

weights.py: Script to train the ML model using Sklearn.
data.csv: Data sampled during experiments.

Getting Started

Prerequisites

Ensure you have the following installed:

Arduino IDE
GCC (GNU Compiler Collection) for compiling C code on Linux
Make
Gnuplot (for plotting, if applicable)

Setting Up the Arduino

Navigate to the arduino directory:
```
cd arduino
```
Compile and flash (on dev/ttyUSB0) the Arduino code:
```
make
```

Setting Up on Linux

Navigate to the linux directory:
```
cd linux
```
Compile and run the Linux code:
```
make
```
To plot the data, use:
```
./plot.sh
```

Setting Up Machine Learning

Navigate to the ML directory:
```
cd ML
```
Add measurements to data.csv.
Install requirements:
```
pip install -r requirements.txt
```
Run the script:
```
python weights.py
```

Usage

Connect the Arduino to your Linux system via USB.
Run the main program to start collecting data.
Use the provided script to plot and analyze the data.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

Special thanks to Prof. Grisetti and Dr. De Rebotti for the guidance and support throughout the course.

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