16 Jun Student | Huaxi Huang | Design, Modelling and Simulation
PhD students
Huaxi Huang
University of Technology Sydney (Supervisor: Jian Zhang)
Rail infrastructure defect detection through video analytics
Research summary
This project will target the management of defect detection through robust video/image analysis in a clutter environment. Compared with traditional infrastructure maintenance process, inspection through video analysis will significantly improve the efficiency of identifying defects, while also reducing safety concerns by limiting the physical inspection contact between maintenance engineers and infrastructure facilities.
Expected completion date
November 2021
Key achievements
- Collected, labelled and established a preliminary railway infrastructure defects image dataset.
- Designed an automated image/video railway infrastructure defects recognition framework using computer vision and deep learning technologies.
- Designed three deep learning based image processing algorithms to solve the limited labelled problem in dealing with railway infrastructure defects and fine-grained image recognition.
- Published and submitted several academic papers on leading international conferences and journals about railway infrastructure defects recognition and limited labelled data processing.