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Build a Real-Time Video Analytics Pipeline with YOLO26 and ByteTrack - PyImageSearch

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Table of Contents

Build a Real-Time Video Analytics Pipeline with YOLO26 and ByteTrack

What Is Real-Time Video Analytics?

Why Detection Alone Is Not Enough for People Counting and Vehicle Counting

System Architecture for Real-Time Video Analytics

Configuring Your Development Environment

Project Structure

Preparing Video Input for YOLO26 Object Detection and Tracking

Running YOLO26 Object Detection on Video

Adding ByteTrack Multi-Object Tracking

Building the Analytics Layer for People Counting and Vehicle Counting

OpenCV Visualization and Dashboard Overlay

Video I/O: The VideoStream and VideoWriter Classes

Performance Optimization for Real-Time Object Detection

Running the Real-Time Video Analytics Pipeline

Real-World Applications of People Counting and Vehicle Counting Systems

What Can Go Wrong in Your Real-Time Video Analytics Pipeline

Summary

In this lesson, you will learn how to build a complete real-time video analytics pipeline using YOLO26 for object detection and ByteTrack for…

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