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Deep Learning for Steel Bolt Inspection by pedrophgdd is a document available to read on EtoBox.

What is Deep Learning for Steel Bolt Inspection about?

This paper presents a study on the condition assessment of bolted connections in steel structures using deep learning techniques, specifically Mask R-CNN, YOLO, and Faster R-CNN models. The authors developed a unique dataset of 1,100 images of defective connections, enhanced it to 1,500 images, and demonstrated that background removal using thermal images significantly improved detection accuracy. The models achieved an overall accuracy between 90% and 93% in identifying defects, addressing limitations in p

Author

pedrophgdd

Language

EN