Update Using_YOLOv8_and_AI_Box_for_fall_climbing_and_tracking_detection.md

Author: LJ-Hao

articles/Chapter_3-Computer_Vision_Projects_and_Practical_Applications/Using_YOLOv8_and_AI_Box_for_fall_climbing_and_tracking_detection.md

@@ -50,7 +50,7 @@ python app.py -i ./falldown_test.mp4 -n ./yolov8n.hef --show-fps -l ./common/coc
 
 ### Result
 
-
+[![Watch on YouTube](https://img.youtube.com/vi/H0NaAevLo2k/120.jpg)](https://www.youtube.com/watch?v=H0NaAevLo2k)
 
 ## Fence climbing
 
@@ -114,4 +114,4 @@ python app.py -i ./people-walking.mp4 -n ./yolov8n.hef --show-fps -l ./common/co
 
 ### result 
 
-<iframe width="800" height="400" src="https://www.youtube.com/embed/xoeMcaG_FxE?list=PLpH_4mf13-A3Wm6hJp7JeT4DD9NXXUAca" title="reComputer Object Detection and Tracking: The Role of YOLOv8 in Shaping Results" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+<iframe width="800" height="400" src="https://www.youtube.com/embed/xoeMcaG_FxE?list=PLpH_4mf13-A3Wm6hJp7JeT4DD9NXXUAca" title="reComputer Object Detection and Tracking: The Role of YOLOv8 in Shaping Results" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>