Exploring structural knowledge for automated visual inspection of moving trains

• Main Authors: CHEN, Cen, ZOU, Xiaofeng, ZENG, Zeng, CHENG, Zhongyao, ZHANG, Le, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Object detection; Visualization; Fasteners; Feature extraction; Inspection; Proposals; Wheels; Automated visual inspection; deep convolutional neural networks (DCNNs); object detection; train component detection; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7242
• Institution: Singapore Management University

Deep learning methods are becoming the de-facto standard for generic visual recognition in the literature. However, their adaptations to industrial scenarios, such as visual recognition for machines, product streamlines, etc., which consist of countless components, have not been investigated well ye...