Vision Based Industrial Inspection

Vision-based industrial inspection uses computer vision to automate the detection of defects in manufacturing processes, aiming for increased efficiency and quality control. Current research emphasizes improving the robustness and reliability of deep learning models, particularly addressing challenges like limited training data through techniques such as continuous training and transfer learning, and handling small or unusual defects with few-shot learning methods. This field is significant for its potential to enhance manufacturing productivity and product quality across various industries, driving advancements in both algorithm development and data management strategies.