AI-Powered Egg Packing Total Counting System using Computer Vision

🐣 About the Project:
This intelligent system automates egg counting and tracking on packaging lines using YOLOv11 object detection
and computer vision.
It ensures accurate, real-time egg count, improving efficiency in poultry farms and industrial egg packaging systems.

💡 Key Features:
✅ Real-time egg detection using YOLOv11 AI model
✅ Line-based counting with configurable JSON setup
✅ Polygon ROI filtering to prevent false counts
✅ Tkinter GUI Dashboard for live monitoring and control
✅ Automated logging & snapshots for every egg detected

📊 Applications:

Poultry farms

Egg grading & packaging lines

Quality assurance & traceability

Industrial automation systems

✨ Built with:
Python | OpenCV | YOLOv11 | Tkinter | NumPy

🔧 System Highlights:
Accurate | Scalable | Real-time | Easy to deploy

🎯 Why it matters:
With this system, farm operators and manufacturers can automate manual egg counting, reduce errors,
and enhance production analytics.


💬 Interested in this project?
If you'd like access or want to collaborate on similar AI + Computer Vision projects, feel free to reach out!

🚀 Want to implement a custom AI project?
I also work on end-to-end solutions in:
🤖 Machine Learning | 🧠 Deep Learning | 👁️ Computer Vision | 🎨 Generative AI | 💬 NLP | 🧩 RAG / Agentic RAG | ⚙️ NVIDIA Jetson | 🍓 Raspberry Pi |🐳 Docker | ☁️ Cloud Services (AWS | Google Cloud | Microsoft Azure)

Let’s connect and bring your AI ideas to life!

🔗 LinkedIn:  / pandian-p-3b0553230  

or

📸 Instagram:  / pandian449  


#ComputerVision#AIProject#YOLOv11#ObjectDetection#MachineLearning#DeepLearning#PythonProjects#OpenCV
#Automation#SmartFarming#PoultryTech#Agritech#AIinAgriculture#EggCountingSystem#EggPackaging#IndustrialAutomation
#RealTimeAnalytics#EdgeAI#AIDetection#VisionAI