999 Part 1(1).mp4 Page

: The video frames were used to train YOLOv7 (You Only Look Once) and Mask-RCNN models to detect objects and estimate distances accurately in real-time.

The full research and technical details can be found in the article Dynamic Collision Alert System for Collaboration of Construction Equipment and Workers published in Buildings (MDPI). 999 Part 1(1).mp4

Because real-world collision data is dangerous and expensive to collect, researchers used a approach: : The video frames were used to train

: To save time, researchers used the virtual environment to automatically generate bounding boxes around objects, ensuring high precision for the AI training. Key Findings from the Research 999 Part 1(1).mp4

: Scenarios were built in Unity 3D to mimic real-world construction tasks, such as collaborative excavation.

: Distinguishes between workers, excavators, and forklifts.