LoRa GPS Tracker

LoRa-Based Virtual Fencing System 🐄🌍

Overview 🌟

This project implements a LoRa-based virtual fencing solution for livestock and wildlife management. The system uses LoRa communication, GPS, and edge processing to create a virtual boundary and monitor animal movement. It triggers alerts when animals breach the defined boundary, helping manage grazing areas and prevent unauthorized animal movement.

Components 🛠️

Hardware 🖥️

LoRa Transmitter Node:

• Heltec LoRa32 V2/V3
• GPS Module (TinyGPS++)
• Buzzer for audio feedback 🎵
• Vibration motor for haptic feedback (optional) 🔋
• LoRa Transmitter Node:Heltec LoRa32 V2/V3GPS Module (TinyGPS++)Buzzer for audio feedback 🎵Vibration motor for haptic feedback (optional) 🔋

LoRa Receiver Node:

• Heltec LoRa32 V2/V3
• OLED Display (SSD1306) 🖥️
• LoRa Receiver Node:Heltec LoRa32 V2/V3OLED Display (SSD1306) 🖥️
• WiFi Connectivity: ESP32 WiFi for data transmission 🌐

Software 💻

• Programming Languages: C++ (Arduino)

Dependencies:

• LoRa.h
• Adafruit_GFX.h
• Adafruit_SSD1306.h
• TinyGPS++.h
• HTTPClient.h
• Dependencies:LoRa.hAdafruit_GFX.hAdafruit_SSD1306.hTinyGPS++.hHTTPClient.h
• Dashboard: Flask-based web application with Leaflet.js for real-time geolocation tracking 🗺️.

Features 🌟

Virtual Fencing 🚧:

• Define polygon-based geofence boundaries.
• Alert using buzzer and vibration when animals exit the virtual fence.
• Virtual Fencing 🚧:Define polygon-based geofence boundaries.Alert using buzzer and vibration when animals exit the virtual fence.

Real-Time Monitoring 📍:

• Receive live location data of animals.
• Display node positions and movement on an interactive map.
• Real-Time Monitoring 📍:Receive live location data of animals.Display node positions and movement on an interactive map.

Data Transmission 📡:

• Uses LoRa for long-range, low-power communication.
• HTTP-based data transfer from LoRa receiver to Flask dashboard.
• Data Transmission 📡:Uses LoRa for long-range, low-power communication.HTTP-based data transfer from LoRa receiver to Flask dashboard.

WiFi Connectivity 🌐:

• Connects to a local WiFi network for sending data to a remote server.
• WiFi Connectivity 🌐:Connects to a local WiFi network for sending data to a remote server.

Customizable Dashboard 🖥️:

• User-friendly interface for viewing current positions and paths.
• Geofence breach alerts with color-coded markers 🚨.
• Customizable Dashboard 🖥️:User-friendly interface for viewing current positions and paths.Geofence breach alerts with color-coded markers 🚨.

How to Use 🛠️

Hardware Setup 🔧

Transmitter Node:

• Connect the GPS module and buzzer to the Heltec LoRa32.
• Program using the Arduino code provided (transmitter.ino).
• Transmitter Node:Connect the GPS module and buzzer to the Heltec LoRa32.Program using the Arduino code provided (transmitter.ino).

Receiver Node:

• Connect the OLED display to the Heltec LoRa32.
• Program using the Arduino code provided (receiver.ino).
• Receiver Node:Connect the OLED display to the Heltec LoRa32.Program using the Arduino code provided (receiver.ino).

Software Setup 💾

Arduino:

• Install required libraries (LoRa, Adafruit_GFX, Adafruit_SSD1306, TinyGPS++).
• Upload the corresponding code to the transmitter and receiver.
• Arduino:Install required libraries (LoRa, Adafruit_GFX, Adafruit_SSD1306, TinyGPS++).Upload the corresponding code to the transmitter and receiver.

Flask Dashboard:

• Ensure Python and Flask are installed.
• Run the Flask server script (app.py).
• Access the dashboard at http://<server_ip>:5000.
• Flask Dashboard:Ensure Python and Flask are installed.Run the Flask server script (app.py).Access the dashboard at http://<server_ip>:5000.

Dashboard 🌍

Features 🔧

Map View 🗺️:

• Displays nodes with real-time updates.
• Uses Leaflet.js for map rendering.
• Map View 🗺️:Displays nodes with real-time updates.Uses Leaflet.js for map rendering.

Sidebar Navigation 🔖:

• Home: Main view.
• Clear Path: Clear polyline paths.
• Export to CSV: Save tracking data.
• Settings: Adjust geofence parameters.
• Sidebar Navigation 🔖:Home: Main view.Clear Path: Clear polyline paths.Export to CSV: Save tracking data.Settings: Adjust geofence parameters.

Installation and Dependencies 📥

Arduino Libraries 📚

• LoRa
• Adafruit GFX
• Adafruit SSD1306
• TinyGPS++

Python Libraries 📦

• Flask
• Requests
• Leaflet.js (for frontend)

Future Improvements 🔮

• Add edge machine learning for animal behavior analysis 🤖.
• Integrate SMS/notification-based alerts 📲.
• Extend battery life with optimized power management 🔋.