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Add https://youtu.be/SMSJvjUG1ko to docs (#18959)

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Muhammad Rizwan Munawar 2025-01-31 17:07:31 +05:00 • committed by GitHub
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docs/en/guides/trackzone.md
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@ -12,6 +12,17 @@ keywords: TrackZone, object tracking, YOLO11, Ultralytics, real-time object dete
TrackZone specializes in monitoring objects within designated areas of a frame instead of the whole frame. Built on [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics/), it integrates object detection and tracking specifically within zones for videos and live camera feeds. YOLO11's advanced algorithms and [deep learning](https://www.ultralytics.com/glossary/deep-learning-dl) technologies make it a perfect choice for real-time use cases, offering precise and efficient object tracking in applications like crowd monitoring and surveillance.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/SMSJvjUG1ko"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> How to Track Objects in Region using Ultralytics YOLO11 | TrackZone 🚀
</p>
## Advantages of Object Tracking in Zones (TrackZone)
- **Targeted Analysis:** Tracking objects within specific zones allows for more focused insights, enabling precise monitoring and analysis of areas of interest, such as entry points or restricted zones.