CAETEC ~ Cow Queue Analysis

Automated cow detection and counting system for dairy farm queue monitoring using computer vision, with snapshots taken at 5-minute intervals.

🎯 Overview

This project implements an automated cow counting system using YOLOv8 object detection to monitor milking queue occupancy in dairy farms. The system captures images every 5 minutes, detects individual cows, and maintains detailed queue occupancy logs.

⭐ Highlights

• Automated Monitoring: captures queue images every 5 minutes.
• Precise Detection: 95% accuracy in cow counting using YOLOv8.
• Production Ready: containerized deployment with <3s processing time.
• Cloud Integration: AWS S3 for image storage

📁 Project Overview

.
├── CRISP-DM/            # Complete project development documentation
│   └── README.md        # Detailed CRISP-DM methodology documentation
├── deployment/          # Production deployment configuration
│   └── README.md        # Deployment guide and configuration
├── docs/                # Additional documentation
├── notebooks/           # Development notebooks
│   ├── yolo/            # Production YOLOv8 implementation
│   ├── research/        # Model experiments
│   └── analysis/        # Data investigation and analysis
└── scripts/             # Utility scripts

🚀 Quick Start

1. Clone the repository
2. Follow the deployment guide in deployment/README.md
3. For development details, see CRISP-DM/README.md
4. Deployment repo: Cow Cattle Classification

📫 Contact

For questions or support, please open an issue in the repository.