Continuation of Automated Sports Card Grading with AI / ML / Computer Vision

At a high level, the aim of Project #14 is to develop advanced methods for assessing the physical condition and features of collectible cards using artificial intelligence. The team is exploring a range of imaging techniques—including controlled lighting, normal mapping, and texture extraction—to capture the subtle details of cards, such as surface wear, creases, and color degradation. By experimenting with different box setups, lighting controls, and cameras, the group intends to create a robust system that can reliably detect and grade defects or features in trading cards. Ultimately, these efforts seek to automate card grading, making the process more accurate, efficient, and accessible for collectors and professionals alike.