Machine learning and point clouds
After the data has been processed and made available from NavVis IndoorViewer, stakeholders can navigate through the virtual production halls using any standard web browser on a computer, tablet or smartphone. Users can look around and zoom in on production lines and machinery. Key details are visible and highlighted as points of interest.
Another benefit of the mobile mapping system, meanwhile, is the point cloud it has generated that records every machine and system. With the aid of machine learning, the point clouds are then incorporated into digital factory CAD models so that the entire hall, including all machines, systems and shelves, can be accessed and monitored virtually.
This has saved employees at Audi a great deal of time and cost – and realizes the goal of production planning that’s site independent. “Our digital planning system offers enormous advantages, especially now during the Coronavirus pandemic,” explains Bongartz.
"Even while in home office, our factory planners are able to take measurements in production halls without being there or even picking up a ruler. These measurements are then used to create highly accurate plans of the facilities remotely."