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AI-Powered People Entry & Exit Counting System Using Computer Vision
I’m thrilled to showcase my latest real-time People Entry & Exit Counting System,
built with AI and Computer Vision to deliver accurate, intelligent, and automated tracking in dynamic
environments.
This project is designed for real-world applications such as:
🏢 Smart surveillance & access control
🏬 Retail & shopping mall analytics
🚉 Transportation hubs (airports, metro, bus stations)
🏫 Educational institutions & workplaces
🎟️ Event and crowd management systems
✨ Key Highlights of the System
🔹 Accurate Entry & Exit Counting
Automatically detects and tracks individuals crossing designated
entry and exit lines, delivering precise "IN" and "OUT" counts in real-time.
🔹 AI-Based Object Detection
Powered by YOLOv11, enabling robust people detection even under challenging conditions—crowds, occlusions, or low lighting.
🔹 Multi-Region Monitoring
Supports multiple zones within a single camera frame, each with its own configurable counting logic and boundaries.
🔹 Polygonal ROI Filtering
Focuses detection only within defined regions of interest (ROIs), reducing false counts from irrelevant movements.
🔹 Interactive GUI Dashboard
Developed using Tkinter, offering an intuitive interface to:
Load video or live feeds
Define custom regions & directions
View real-time counts and tracking IDs
Monitor visual analytics dynamically
🔹 Comprehensive Logging & Reporting
Each entry/exit event is recorded with:
✔️ Tracking ID
✔️ Region & Direction (In/Out)
✔️ Timestamp
✔️ Person Snapshot
✔️ Exportable CSV reports for further analysis
💡 This project represents a production-ready AI solution that integrates computer vision, tracking, and real-time analytics—a powerful step toward smart infrastructure, crowd monitoring, and intelligent automation.
💬 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:https://www.linkedin.com/in/pandian-p-3b0553230/
📧 Email: pandian10may@gmail.com
📸 Instagram:https://www.instagram.com/pandian449/
#ComputerVision #ArtificialIntelligence #AIProjects #PeopleCounting #EntryExitCounting #ObjectDetection #YOLO #DeepLearning #CrowdAnalytics #SmartSurveillance #RetailAnalytics #VideoAnalytics #PythonProjects #MachineLearning #AIML #RealTimeAnalytics #EdgeAI #SmartInfrastructure #AIInnovation
Видео AI-Powered People Entry & Exit Counting System Using Computer Vision канала AI Projects HUB
built with AI and Computer Vision to deliver accurate, intelligent, and automated tracking in dynamic
environments.
This project is designed for real-world applications such as:
🏢 Smart surveillance & access control
🏬 Retail & shopping mall analytics
🚉 Transportation hubs (airports, metro, bus stations)
🏫 Educational institutions & workplaces
🎟️ Event and crowd management systems
✨ Key Highlights of the System
🔹 Accurate Entry & Exit Counting
Automatically detects and tracks individuals crossing designated
entry and exit lines, delivering precise "IN" and "OUT" counts in real-time.
🔹 AI-Based Object Detection
Powered by YOLOv11, enabling robust people detection even under challenging conditions—crowds, occlusions, or low lighting.
🔹 Multi-Region Monitoring
Supports multiple zones within a single camera frame, each with its own configurable counting logic and boundaries.
🔹 Polygonal ROI Filtering
Focuses detection only within defined regions of interest (ROIs), reducing false counts from irrelevant movements.
🔹 Interactive GUI Dashboard
Developed using Tkinter, offering an intuitive interface to:
Load video or live feeds
Define custom regions & directions
View real-time counts and tracking IDs
Monitor visual analytics dynamically
🔹 Comprehensive Logging & Reporting
Each entry/exit event is recorded with:
✔️ Tracking ID
✔️ Region & Direction (In/Out)
✔️ Timestamp
✔️ Person Snapshot
✔️ Exportable CSV reports for further analysis
💡 This project represents a production-ready AI solution that integrates computer vision, tracking, and real-time analytics—a powerful step toward smart infrastructure, crowd monitoring, and intelligent automation.
💬 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:https://www.linkedin.com/in/pandian-p-3b0553230/
📧 Email: pandian10may@gmail.com
📸 Instagram:https://www.instagram.com/pandian449/
#ComputerVision #ArtificialIntelligence #AIProjects #PeopleCounting #EntryExitCounting #ObjectDetection #YOLO #DeepLearning #CrowdAnalytics #SmartSurveillance #RetailAnalytics #VideoAnalytics #PythonProjects #MachineLearning #AIML #RealTimeAnalytics #EdgeAI #SmartInfrastructure #AIInnovation
Видео AI-Powered People Entry & Exit Counting System Using Computer Vision канала AI Projects HUB
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21 ноября 2025 г. 18:08:28
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