Work towards MSc degree under the supervision of Prof. Amir Degani
When: 15.10.2020 at 10:00
Abstract: Data sensing and information processing are two key technological abilities that are being integrated into construction progress monitoring and evaluation. We propose an automated system of a projection and scanning technology to provide real-time information and feedback regarding the quality and accuracy of worker performance. Real time automated error detection enables better, more efficient planning for the entire project. The goal is to achieve proper quality after a single iteration, with fully automated inspection, and no additional rework. As a proof-of-concept, we demonstrate the system using a wall plastering operation to exemplify real time sensing, processing, and visual feedback. The chosen application is difficult to measure in conventional means, and errors are difficult to detect. Our system monitors the progress of the procedure, using periodic laser scanning, and obtains data as a colored point cloud. The system then evaluates the surface flatness and projects corrections directly onto the surface itself, after optimizing with respect to tolerances and as-planned models. We demonstrate the concept in an experimental setup using a 3D laser scanner and an angled adjustable projector. The results show high precision detection of wall flatness deviations, of up to 2 mm accuracy.
You can see the seminar here