Скачать или смотреть Build an AI People Counter | Retail Analytics & Crowd Tracking | Computer Vision Project 2025

📊 Transform video feeds into actionable data! In this comprehensive tutorial, you'll learn how to build a accurate Real-Time People Counting System using Python, OpenCV, and object tracking.

▶ WATCH THE FULL PROJECT TUTORIAL: [    • Real-Time People Counting System | YOLOv8 ...  ]

⬇️ *SOURCE CODE & DATASET:* [ https://www.scratchlearn.com/projects... ]


This computer vision project is perfect for retail analytics, smart building occupancy monitoring, event management, and serves as a fantastic portfolio piece for students and developers.

In this hands-on guide, you will learn how to:
✅ Perform real-time object detection using YOLO (You Only Look Once) to identify people.
✅ Implement the Deep SORT algorithm for robust, persistent object tracking.
✅ Define virtual counting lines or zones to track entries and exits.
✅ Log count data to a CSV or database for further analysis and visualization.
✅ Calculate crucial metrics like footfall, occupancy, and dwell time.

🛠 *Technologies & Libraries Used:*
Python Programming
OpenCV (Computer Vision)
YOLOv8 (from Ultralytics)
Deep SORT (Object Tracking)
NumPy, Pandas (Data Handling)
Optional: TensorFlow/PyTorch

📁 *Project Files:*
Complete Python Source Code
Pre-trained YOLO model weights
Sample video datasets for testing
Step-by-step Jupyter Notebook

This tutorial is ideal for you if you're searching for: real-time people counting, people counter system, OpenCV project, object tracking, YOLO deep learning, retail analytics, footfall analysis, crowd counting, visitor counter, computer vision tutorial, and final year project ideas.

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