esp32golangultrasonicprediction

Home Automation with HC-05 Ultrasonic Sensor

This repository contains code for implementing a home automation system using an HC-05 ultrasonic sensor, written in Go, Arduino (for ESP32), and PHP. The system utilizes the HC-05 ultrasonic sensor to detect distance, which is then sent to a PHP server via Wi-Fi. The PHP server receives the data and stores it in a CSV file for further processing.

Components:

1. Go Code (GoLang):

   • The Go code performs machine learning tasks on the collected ultrasonic sensor data stored in a CSV file. It uses the Gorgonia library to define, train, and evaluate a neural network model for classification or regression tasks.

2. Arduino Code (C++):

   • The Arduino code, written in C++, is designed to run on an ESP32 microcontroller. It reads distance data from the HC-05 ultrasonic sensor and sends it to the PHP server via Wi-Fi using HTTP requests.

3. PHP Code:

   • The PHP code receives the incoming distance data from the ESP32 and stores it in a CSV file named data.csv.

Usage:

1. Setting up the Hardware:

   • Connect the HC-05 ultrasonic sensor to the ESP32 microcontroller according to the wiring diagram.
   • Ensure the ESP32 is connected to a Wi-Fi network.

2. Running the Code:

   • Upload the Arduino code to the ESP32 microcontroller.
   • Run the Go code on your local machine to perform machine learning tasks on the collected data.
   • Ensure the PHP server is running to receive incoming data from the ESP32.

3. Data Analysis:

   • Analyze the stored data in the data.csv file to gain insights into occupancy patterns, movement detection, or any other relevant metrics.

Wiring Diagram:

HC-05 Ultrasonic Sensor      ESP32 Microcontroller
    VCC ------------------------ 3.3V
    GND ------------------------ GND
    Trig ------------------------ Digital Pin 2
    Echo ------------------------ Digital Pin 3

Dependencies:

• GoLang (for Go code)
• Arduino IDE (for ESP32 code)
• PHP server with support for HTTP requests

Notes:

• Adjust the Wi-Fi SSID and password in the ESP32 code (ssid and password variables) to match your network credentials.
• Ensure the correct URL for the PHP server is specified in the ESP32 code (serverName variable).
• Modify the delay in the Arduino code (delay(5000)) as needed based on the desired data collection frequency.
• Additional features and functionalities can be implemented based on specific home automation requirements.

Benefits

• Custom Home Automation: The system enables custom home automation solutions tailored to specific requirements, such as occupancy detection, energy management, or security monitoring.

• Real-time Data Analysis: Data collected from the ultrasonic sensor can be analyzed in real-time to make informed decisions and automate actions based on occupancy or distance measurements.

• Scalability: The modular architecture allows for easy scalability and integration with additional sensors or actuators to expand the functionality of the home automation system.

Dependencies

• Gorgonia: Library for machine learning and neural network implementation in Go.
• Arduino IDE: Integrated development environment for programming Arduino and ESP32 microcontrollers.
• WiFi.h: Arduino library for connecting to Wi-Fi networks.
• HTTPClient.h: Arduino library for making HTTP requests.

Note

Ensure that the server hosting the index.php file is running and accessible from the ESP32 device. Adjust the delay in the Arduino code as needed to control the frequency of data transmission based on your application requirements.

License

This project is licensed under the MIT License. You are free to modify and distribute the code for personal or commercial use.