نظام ذكي لاكتشاف وعدّ الكتاكيت والدواجن
Chick and Chicken Detection and Counting System
An AI-powered poultry monitoring system that detects and counts chicks and adult chickens in real-time using YOLO-based object detection. The system supports live camera feeds and recorded videos, providing accurate population tracking for modern poultry farms.
Project Overview
The Chick and Chicken Detection and Counting System leverages computer vision and deep learning to automatically detect, track, and count chicks and adult chickens in video streams. Using a custom-trained YOLO model, the system can distinguish between young chicks and adult chickens, enabling precise monitoring for poultry management, health supervision, and automated farming operations.
Key Features
Real-Time Detection & Counting
- 🐥 Detects and counts chicks and chickens in real-time.
- ⚡ High-accuracy YOLO-based object detection.
Live & Recorded Video Processing
- 🎥 Supports live webcam and CCTV camera feeds.
- 📼 Processes pre-recorded video files.
Object Tracking
- 🆔 Tracks individual chicks and chickens across frames.
- 🔁 Prevents double counting in crowded scenes.
Visualization & Analytics
- 📦 Displays bounding boxes around detected birds.
- 📊 Shows total chick and chicken count on screen.
Technology Stack
- 🐍 Programming Language: Python
- 🎥 Computer Vision: OpenCV
- 🧠 Object Detection: YOLO (Custom Trained)
- ⚙️ Deep Learning Framework: TensorFlow or PyTorch
Use Cases
- 🐔 Poultry Farming – Monitor and manage chick and chicken populations.
- ❤️ Animal Welfare Monitoring – Prevent overcrowding and stress.
- 🤖 Farm Automation – Integrate with smart poultry farming systems.
- 🔬 Agricultural Research – Study poultry behavior and growth patterns.
- 🏭 Poultry Hatcheries – Automatically count newly hatched chicks.
Conclusion
The Chick and Chicken Detection and Counting System provides an efficient and scalable solution for poultry population monitoring. By combining YOLO-based detection, real-time tracking, and accurate counting, the system enhances farm management, improves animal welfare, and supports data-driven decision-making in modern poultry farming.