999 Part 1(1).mp4 Site

: 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.

Because real-world collision data is dangerous and expensive to collect, researchers used a approach: 999 Part 1(1).mp4

: Scenarios were built in Unity 3D to mimic real-world construction tasks, such as collaborative excavation. : By using the known size of objects

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: Unlike traditional sensors that fire an alarm whenever

: Distinguishes between workers, excavators, and forklifts.

: 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.