999 Part 1(1).mp4 [ A-Z SAFE ]

: 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.

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

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

: 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.

: 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. : The study noted that moving machine parts

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:

: 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 system significantly decreased the number of

: Distinguishes between workers, excavators, and forklifts.