999 Part 1(1).mp4 Apr 2026

: 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.

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:

: The study noted that moving machine parts (like an excavator's arm) can sometimes obstruct the view or cause perspective distortion, leading to slight distance errors. 999 Part 1(1).mp4

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

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). : The system significantly decreased the number of

: 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

: Distinguishes between workers, excavators, and forklifts. : Scenarios were built in Unity 3D to

: By using the known size of objects and camera focal lengths, the system can estimate the distance of a worker or machine within a small margin of error.