Documenting progress at an active construction site can be a difficult process and, if done inaccurately, can lead to significant problems. Teams are always attempting to ensure construction accuracy against design intent and the need to create final as-built documentation before project handover. Liability, schedule, risk, and safety concerns are all top of mind for teams managing projects in the field.
Reality Capture is a great way to document the construction process on-site because it provides immediate visual information and is extremely accurate. Using up-to-date scan data of a site ensures that you can go back during installation and know exact dimensions of the space at any point in time as the project progresses.
The scanning process makes it easy to take continual scans for comparison purposes and visual logs, which in turn can act as regular progress updates for the team. By comparing the design intent to the as-built snapshot, contractors can monitor installations and catch discrepancies early on, avoiding issues down the road. You can perfectly capture a moment in time and review it against its previous state. This way, you can deliver high value as-built models and verifications at project handover.
As noted in a case study written by Carnegie Mellon University researchers, many construction defects happen during the building process. Technology like Reality Capture that allows you to pull more thorough site data can help prevent this and save on costly rework.
McCarthy Building Companies
McCarthy Building Companies used Reality Capture on actual construction projects and compared the costs and benefits with conventional surveying methods. In the new Stanford Hospital Palo Alto Renewal project, they used Reality Capture to verify steel “camber beams”. Using traditional methods, they scanned just 30% of the steel with a total station and a Philadelphia rod, which took 64 hours in total. In contrast, using Reality Capture, they could scan the existing structure (all beams, steel and concrete floor) with 155 scans, which took only 13 man hours. The comparison in time and survey savings was tremendous. Not only that, point cloud data was used to provide accurate dimension calculations for RFIs.