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

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

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:

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

: Recognizes if a worker is facing away or kneeling, which increases risk.

: 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.