999 Part 1(1).mp4 Apr 2026

: 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

The video is part of a study that addresses the high rate of accidents in the construction industry. Unlike traditional sensors that fire an alarm whenever any object is near, DCAS uses a to evaluate risk dynamically based on: 999 Part 1(1).mp4

: Distinguishes between workers, excavators, and forklifts. : To save time, researchers used the virtual

: 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

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).

Because real-world collision data is dangerous and expensive to collect, researchers used a approach:

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