999 Part 1(1).mp4 May 2026

: 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.

: 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 999 Part 1(1).mp4

: The video frames were used to train YOLOv7 (You Only Look Once) and Mask-RCNN models to detect objects and estimate distances accurately in real-time. : By using the known size of objects

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 full research and technical details can be

: 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.

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