1(1).mp4 — 999 Part

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).

: Recognizes if a worker is facing away or kneeling, which increases risk. 999 Part 1(1).mp4

: Distinguishes between workers, excavators, and forklifts. The full research and technical details can be

: 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 video frames were used to train

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

: The system significantly decreased the number of "nuisance" alarms compared to static sensors, as it understands when a worker or another machine is approaching safely for collaboration.

: Adjusts risk based on where the camera is mounted on the machine (e.g., blind spots). How the Video Was Created