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Smart Egg Detection & Counting System
A real-time egg detection and counting system using YOLO12 and OpenCV, designed to monitor eggs moving through a production line. Each egg is detected, assigned a unique ID, and counted only once as it crosses a virtual line, providing an automated and scalable solution for poultry farms and egg processing facilities.
Project Overview
This project is a real-time egg detection and counting system built with YOLO12 and OpenCV. It supports both live camera input and pre-recorded video files, detects eggs, tracks them across frames using persistent IDs, and counts each egg accurately when it crosses a virtual horizontal line. The system eliminates double counting and provides a clear visual interface with live statistics.
Key Features
Real-Time Egg Detection
- 🥚 YOLO12-trained model (best.pt) optimized for egg detection.
- ⚡ Accurate detection in fast-moving production lines.
Object Tracking with Unique IDs
- 🆔 Assigns a persistent ID to each detected egg.
- 🔁 Prevents double counting across multiple frames.
Directional Line Crossing Logic
- 📏 Counts eggs only when crossing a virtual line.
- ⬇️⬆️ Supports top-to-bottom and bottom-to-top detection.
Visual Feedback
- 🎨 Bounding boxes, labels, and centroids.
- 📊 Live counter displayed on screen.
Flexible & Modular Design
- 📹 Supports webcam and video file input.
- 🧩 Easily extendable for size, quality, or grading analysis.
Technology Stack
- 🐍 Programming Language: Python
- 🎥 Computer Vision: OpenCV
- 🧠 Object Detection & Tracking: YOLO12 (Ultralytics)
- 🔥 Deep Learning Backend: PyTorch
- 🖥️ Visualization Utilities: cvzone
Use Cases
- 🐔 Poultry farms – Automated egg counting.
- 🏭 Egg processing and packaging lines.
- 📦 Inventory monitoring and production analytics.
- 🤖 Smart agriculture automation systems.
Conclusion
This Smart Egg Detection & Counting System provides a reliable and cost-effective computer vision solution for agricultural automation. By combining YOLO12 detection, object tracking, and direction-based counting logic, the system ensures high accuracy and real-time performance. Its modular design allows easy expansion for quality assessment, grading, and integration with farm management software—significantly reducing manual labor and increasing productivity.