UTC 2022 Funding - Cycle 2 Research Projects

Project Number: CY2-UNM-02
Project Title: Automated Quality Assessment of Precast Members using Lidar and Augmented Reality
Performing Institution: University of New Mexico
Principal Investigator: Fernando Moreu and Su Zhang
Proposed Start and End Date: 10/01/2024 to 01/15/2026
Project Description: . This research project will develop an AR tool and interface as well as scanning in the field that enables easy information access, automatic data collection, and real-time data analysis by providing a dimensional verification of precast members inspection using 3D scanning. The focus will be prestressed I-beams that are cast in New Mexico, but it can be used for box girders, and other beams of interest in other transportation infrastructure.

This research aims to develop an innovative framework utilizing 3D point cloud data to provide insights into production variations. The objective is to empower factory operators with actionable information for enhancing quality control and optimizing processes with an interface both with the data and the product itself so it can be rectified in the field. To facilitate efficient decision-making by inspectors, a solution will be developed to expedite the identification of incorrect precast strands, rebar, stirrups, chairs, spacers, plates, and eventually the concrete dimensions of the casted members. AR Visualization technology will be employed to overlay holographic representations of precast concrete elements onto real-world objects. These holographic representations will be color-coded to indicate which errors are found during construction, and which members should not be utilized in construction, aiding inspectors in quickly identifying deviations from quality standards during fabrication and at the precast plant. They can display the design and error and keep it to compare later. 
Click here to learn more