Edge detection helps autonomous vehicles identify road boundaries, lane markings, and obstacles. Systems use techniques like Canny edge detection to process camera feeds in real-time, creating maps of road features. This information combines with other sensors to help vehicles navigate safely and make driving decisions. For example, Tesla cars use edge detection to identify lane markings even in poor weather conditions.
Medical imaging uses edge detection to identify organ boundaries and tissue abnormalities. Doctors examine MRI and CT scans where edge detection highlights subtle changes in tissue density or structure. This helps in tumor detection, measuring organ size, and planning surgical procedures. Edge detection algorithms can spot details that might be missed in visual inspection.
Quality control systems in manufacturing use edge detection to inspect products. Assembly lines use cameras and edge detection to verify product dimensions, check for defects, and ensure proper assembly. For instance, semiconductor manufacturers use edge detection to inspect circuit boards for broken traces or misaligned components with sub-millimeter precision.