SFP-YOLO: An infrared image detection algorithm for steel plate welding defects

Key Points

• Detection algorithm identifies welding defects effectively through infrared imaging and deep learning techniques.
• The algorithm shows an accuracy rate of over 90% in detecting defects within steel plates.
• Analysis involved computer vision methods applied to infrared images of welding sites.
• The findings highlight the potential to enhance industrial quality control through advanced imaging techniques.