Bolt Rotation

Bolt rotation analysis is a growing field focusing on accurately measuring and tracking bolt rotation in various applications, primarily driven by the need for improved automated inspection and structural monitoring. Current research emphasizes the development of robust computer vision systems, often employing deep learning models like convolutional neural networks (CNNs) and transformers, to detect, classify, and track bolts in real-time, even under challenging conditions such as occlusion or varying lighting. These advancements are significant for enhancing quality control in manufacturing, ensuring structural integrity in engineering, and enabling assistive robotics for individuals with limited mobility.