Livestock Monitoring System

Overview

The Livestock Monitoring System is an advanced solution designed to improve livestock management & ensure their well-being. By utilizing modern technology, this system helps farmers efficiently track livestock movements, monitor their health, detect obstacles in their surroundings using a combination of sensors & automation tools.

This system integrates Raspberry Pi 3B, BrickPi, LEGO Mindstorms motors, ultrasonic sensors, web camera to enable real-time monitoring & automated operations. It enhances efficiency by detecting obstacles, automating movement, providing remote access to livestock data.

Hardware Components

Component	Function
Raspberry Pi 3B (1GB RAM)	Controls the entire system
BrickPi	Interfaces Raspberry Pi with LEGO Mindstorms components
Web Camera	Captures live video feed
2 Ultrasonic Sensors	Detects obstacles at the front & back
2 LEGO Mindstorms Motors	Controls movement of gates & feeding systems

Features

For our prototype, we are using a website to control the motors remotely & display real-time video feed directly on the web interface.

• Live Camera Feed – Enables remote livestock monitoring through a web camera.
• Obstacle Detection – Uses ultrasonic sensors to detect & respond to obstacles.
• Motorized Control – Automates movement using LEGO Mindstorms motors.
• Alert System – Sends real-time notifications when obstacles are detected.

Software & Libraries

• Python – Manages motor control & obstacle detection
• Uvicorn – ASGI server for running FastAPI applications
• Websockets – Facilitates real-time communication
• Ngrok – Enables secure remote access
• BrickPi – Interfaces Raspberry Pi with LEGO Mindstorms components
• FastAPI – Provides a high-performance API framework
• OpenCV – Handles image processing & computer vision tasks
• Torch – Supports AI/ML functionalities
• Ultralytic – Offers advanced data analytics

Expected Output

• Real-time tracking of livestock movements
• Automated obstacle detection & response
• Control of gates & feeding systems
• Remote access to live video feed & system alerts

Future Enhancements

• Sense HAT for collecting environmental data
• Raspberry Pi AI Hat for enhanced AI-based analytics
• Thermal Camera for livestock health monitoring based on temperature
• Motion Sensor for improved movement detection
• AI-driven livestock health analysis
• Remote control capabilities via a mobile app
• Cloud-based data storage & analytics for better decision-making