Скачать или смотреть 🚀 Multi-Region People Entry & Exit Counting System Using Computer Vision, Deep Learning & Tracking

I’m excited to present a fully working, real-time Multi-Region People Counting System built for accurate and efficient monitoring.

This AI-powered system leverages YOLOv11, polygon-based region tracking, and smart entry/exit logic to deliver industrial-grade accuracy.

🔥 Where This System is Useful

Perfect for:

✔ Smart surveillance & security
✔ Public venue and building monitoring
✔ Retail stores for customer flow analysis
✔ Airports, bus stands & metro stations
✔ Factories & industrial automation
✔ Crowd management in stadiums / events
✔ Office entry-exit automation

✨ Key Features
🔹 1. Multi-Region People Counting

Define multiple zones in a single camera feed.
Each zone maintains independent entry/exit counts and analytics.


🔹 2. AI-Powered Detection (YOLOv11)

Ultra-fast, accurate detection even in:

Crowded scenes

Low-light environments

Complex backgrounds


🔹 3. Smart Entry/Exit Line Logic

Crossing-line detection based on:

Person direction

Frame-wise tracking

Geometric vector analysis

This ensures high accuracy and prevents duplicate counts.


🔹 4. Polygon-Based ROI Filtering

Draw any custom region:

Rectangle

Polygon

Irregular boundaries

Only people inside these regions are counted.


🔹 5. Interactive Tkinter GUI Dashboard

User-friendly interface with:

✔ Video file selection
✔ Live camera feed support
✔ Region drawing tool
✔ Entry/exit direction setup
✔ Real-time counts panel
✔ Snapshots preview
✔ Data export


🔹 6. Logging, Snapshots & Reporting

Every entry/exit event logs:

✔ Tracking ID
✔ Zone/Region name
✔ Entry or Exit
✔ Timestamp
✔ Auto-captured person snapshot
✔ CSV report export

Perfect for audits, analytics, retail insights, and more.


💰 Pricing

I am offering the complete project at:

🎉 ₹3000 — Full Project + Complete Documentation

Includes:

✔ Full source code
✔ Tkinter GUI
✔ YOLOv11 integration
✔ Multi-region polygon tracking
✔ Snapshot saving
✔ CSV logging
✔ Setup guide
✔ Full project explanation
✔ Support for installation



The link is given in the comments section s You can view the complete project output


🚀 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!


📧 Email: [email protected]
📸 Instagram:  / pandian449  


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