Dwell Time Analysis with Computer Vision - Real-Time Stream Processing

Explore computer vision techniques for analyzing dwell times and optimizing processes in this 28-minute tutorial. Dive into object detection, tracking, and time calculation within designated zones to enhance customer experiences in retail, traffic management, and other scenarios. Learn the differences between static file and stream processing, understand various time calculation methods, and set up a project for practical implementation. Master object detection and tracking, define zones for filtering objects, and measure time accurately. Discover why naive stream processing falls short and how to implement efficient alternatives. Gain insights into important considerations for real-world applications, and access valuable resources including GitHub repositories, datasets, and additional video content to further your understanding of dwell time analysis using computer vision.

- Intro
- Static File Processing vs. Stream Processing: Time Calculation Explained
- Time Calculation Methods: FPS vs. ClockTime
- Project Setup
- Object Detection and Tracking
- Defining Zones: How to Filter Objects
- Measuring Time
- Why Naive Stream Processing Fails
- Efficient Stream Processing
- Important Considerations
- Outro
- Community Session April 11 2024 at 08:00 AM PST / 11:00 AM EST / PM CET: https://roboflow.stream