Example of defect inspection using 3D CT data.In our research, we propose to combine image processing with machine learning for an automated smart industrial inspection software for CT images and 3D volumes.
The designed software has three main modules:
- Database management module, which handles the database and reads/writes queries to retrieve or save the CT data
- Pre-processing module for registration and background subtraction
- Defect inspection module to detect all the potential defects (missing parts, damaged screws, etc.) based on a hybrid system composed of computer vision and deep learning techniques
This project was led by Prof. Hossam A. Gabbar and me as the postdoctoral researcher of the team (composed of two master’s students [ Md Jamiul Alam Khan , Oluwabukola Grace], software developer Matthew Immanuel Samson, and a lab engineer Manir Islam) in collaboration with New Vision Systems Canada Inc. (NVS) and Mitacs.
For a CTIMS demo, please feel free to send an email to Amr Barakat (amrb@nvscanada.ca)
Abderrazak Chahid
Data Scientist
My research interests include feature extraction, computer vision, real-time implementation of smart decision making systems.
Publications
CTIMS: Automated Defect Detection Framework Using Computed Tomography
