
Surface defect detection using structure Lights
Presenter(s)
Kiranmayee Madhusudhan
Files
Description
Three-dimensional imaging based on structured light illumination is used to reconstruct 3D images. The structured light is projected onto the surface of the object to be measured, a camera system captures the object image from a different angle of view. The system uses a digital micro-mirror device (DMD) to generate structured light patterns from projector. The patterns are generated based on digital fringe projection. To quantitatively measure the deformation, the system undergoes calibration using pre-known patterns, during which the relative positions of the object, projector, and camera are determined. The 3D information is then processed using standard Image processing and computer vision algorithms. This approach is significant in delivering high resolution, enables real-time inspections particularly essential for transportation infrastructure applications. With its fast-imaging speed, high resolution, and working distance, the system is well-suited to meet the requirements of real-time, field-based tests for fault detection and material degradation.
Publication Date
4-23-2025
Project Designation
Graduate Research
Primary Advisor
Hui Wang
Primary Advisor's Department
Civil and Environmental Engineering and Engineering Mechanics
Keywords
Stander Symposium, School of Engineering
Recommended Citation
"Surface defect detection using structure Lights" (2025). Stander Symposium Projects. 4154.
https://ecommons.udayton.edu/stander_posters/4154

Comments
3:00-4:15, Kennedy Union Ballroom