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