Tracks the number of workers and the efficiency of their activities on the construction site, while collecting performance statistics. Detects personal protective equipment (hard hats, safety vests, safety boots, jackets, etc.) and monitors occupational safety compliance based on location.
Tracks operating hours by equipment type (cranes, dump trucks, excavators, etc.) and enables equipment utilization data to be correlated with construction progress.
Tracks the building’s structural outline and construction progress, while monitoring the construction process, including the sequence of works, project schedule, and construction plan.
https://rutube.ru/video/f3d4c71b40bd1d2d4d7edb00dc214ae4/?r=wd; Employee Productivity; 00:09; Trained neural network for monitoring employee productivity, tracking workforce output and the use of personal protective equipment.
https://rutube.ru/video/295a0b895cc4f2ca654ed21d89b376a1/?r=wd; Construction Equipment Monitoring; 00:50; Trained neural network for monitoring construction equipment operations, including downtime tracking and notifications.
https://rutube.ru/video/df2a873235f1c28ef66dbc09ba80d10d/?r=wd; Floor Count Monitoring; 01:40; Newly trained neural network for monitoring construction work cycles, enabling floor count tracking by detecting windows and balconies.
https://rutube.ru/video/0b10fc20c4b33a5050d343d4bad44e14/?r=wd; Construction Progress Monitoring; 00:55; Trained neural network for monitoring and forecasting construction progress, linked to the building’s BIM model or construction schedule.