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# Motor and Sensor Control on Arduino Raspberry Pi and ESP
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## tps_GiorgioCitterio_UmbertoColombo_2022_2023
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<a href="https://github.com/GiorgioCitterio/Motor-and-Sensor-Control-on-Arduino-Raspberry-Pi-and-ESP/blob/main/README.md">README 🇮🇹</a>
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---
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### Table of Contents
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- Activity 1: <a href="#serard">Serial Communication on Arduino</a>
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- Activity 2: <a href="#serpy">Serial Communication with Python and Arduino</a>
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- Activity 3: <a href="#isoosi">Communication with ISO/OSI Model Packet</a>
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- Activity 4: <a href="#guisensatt">Sensor/Actuator Control via GUI (Python)</a>
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- Activity 5: <a href="#sensjson">Storing Sensor Data in a JSON File</a>
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- Activity 7: <a href="#websens">Making Sensor Data Available on the Web</a>
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- Activity 8: <a href="#webatt">Motor Control via Web Browser</a>
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- Activity 9: <a href="#initrasp">Installation and Importing Programs on Raspberry Pi</a>
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- Activity 10: <a href="#rf24">Sending Packets via RF24 Radio Module</a>
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- Activity 11: <a href="#sensattrasp">Controlling Motor and Sensor from Raspberry Pi</a>
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- Activity 12: <a href="#mqtt">Using MQTT for IoT Device Communication</a>
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- Activity 13: <a href="#mqttesp">Using MQTT with ESP8266</a>
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- Activity 14: <a href="#alexa">Controlling Sensor and Actuator with Alexa</a>
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- Activity 15: <a href="#ble">Using BLE for Environment Control</a>
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---
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For library installation on [Linux systems](lib.md).
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---
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# Activity 1: <a name="serard"></a>
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**Activity Report 1**: [Serial Communication on Arduino](01_TrasmissioneSerialeArduino/01_TrasmissioneSerialeArduino_Relazione.pdf).
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Exploration of serial communication on Arduino.
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---
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# Activity 2: <a name="serpy"></a>
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**Activity Report 2**: [Serial Communication with Python and Arduino](02_Python-2-Seriale/02_Python_2_Seriale_Relazione.pdf).
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Communication between a Python application running on Windows and a sensor (potentiometer) and an actuator (L293D motor) connected to an Arduino.
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To communicate with the serial port using Python, the *serial* library is used, which can be installed on Windows with the following command:
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```
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py -m pip install pyserial
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```
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Official documentation for the [serial library](https://pyserial.readthedocs.io/en/latest/pyserial.html).
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---
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# Activity 3: <a name="isoosi"></a>
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**Activity Report 3**: [Communication with ISO/OSI Model Packet](03_Python-3-Pacchetto_livello_3_7_del%20modello_ISO-OSI_su_seriale/03_Python_3_Pacchetto_livello_3_7_modello_ISOOSI_su_seriale_Relazione.pdf).
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Reorganizing the message format exchanged between sensors/actuators and the Python application to work with an RF24 module, which has a payload of 32 bytes.
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The *struct* library in Python is used to create these packets.
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Official documentation for the [struct library
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](https://docs.python.org/3/library/struct.html).
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---
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# Activity 4: <a name="guisensatt"></a>
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**Activity Report 4**: [Sensor/Actuator Control via GUI (Python)](04_Python-4-GUI/04_Python_4_GUI_Relazione.pdf).
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Controlling a sensor and actuator through a GUI using Python. Three different programs for the actuator and three for the sensor.
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The GUI (Graphical User Interface) is created using the *tkinter* library, which can be installed for most users with the following command:
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```
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py -m pip install tkinter
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```
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Official documentation for the [tkinter library](https://docs.python.org/3/library/tk.html).
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In the latest version of the sensor program, the *matplotlib* library is used to create a graph. It can be installed (on Windows) with the following command:
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```
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py -m pip install matplotlib
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```
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Official documentation for the [matplotlib library](https://matplotlib.org/).
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---
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# Activity 5: <a name="sensjson"></a>
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**Activity Report 5**: [Storing Sensor Data in a JSON File](05_Python-5-JSON/05_Python_5_JSON_Relazione.pdf).
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Storing sensor data received in a JSON file for later use in client/server data exchange.
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To write to a JSON file from Python, the *json* library, which is already available in Python, is used.
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Official documentation for the [json library](https://docs.python.org/3/library/json.html).
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---
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# Activity 7: <a name="websens"></a>
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**Activity Report 7**: [Making Sensor Data Available on the Web](07_Python-7-Flask/07_Python_7_Flask_Relazione.pdf).
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Making sensor data stored in a JSON file available on the web using Flask and tunneling.
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To create the web server, the *Flask* library is used, which can be installed (on Windows) with the following command:
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```
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py -m pip install Flask
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```
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Official documentation for the [Flask library](https://flask.palletsprojects.com/en/2.2.x/).
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---
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# Activity 8: <a name="webatt"></a>
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**Activity Report 8**: [Motor Control via Web Browser](08_Python-8-Form/08_Python_8_Form_Relazione.pdf).
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Sending data from a web browser to a Flask application to control the motor.
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---
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