Resource-Efficient Surface Defect Detection on Edge Devices Using a Hybrid Descriptor Framework with Data-Driven Feature Selection
Surface defect detection across diverse surface types, such as biological shells, photovoltaic panels, and pavement infrastructure, is essential for industrial quality control and structural health monitoring. Although Deep Learning (DL) models perform well in this domain, high computational and memory requirements lim...