Visual Inspection

Visual inspection, the process of examining objects or systems for defects, is undergoing a transformation driven by advancements in artificial intelligence and computer vision. Current research focuses on automating inspection tasks across diverse domains, from manufacturing quality control to infrastructure monitoring, using deep learning models like convolutional neural networks (CNNs), transformers, and autoencoders, often coupled with techniques like active learning and explainable AI to improve efficiency and reliability. This automation promises significant improvements in speed, accuracy, and consistency compared to traditional manual methods, impacting various industries by enhancing safety, reducing costs, and improving overall productivity.