Advanced Object Detection Algorithms for Crack Detection in Solar Cells and Beyond

The objective of this PhD project is to develop and refine advanced object detection algorithms to identify cracks and other defects in solar cells. The research will focus on leveraging cutting-edge machine learning and computer vision techniques to enhance the accuracy and efficiency of defect detection. Additionally, the project aims to explore the application of these detection methods in other domains, such as the inspection of other electronic components, structural health monitoring, and quality control in manufacturing.

This project is supported by Above Surveying Ltd.