Abstract: Railway Track Detection System using Neural Networks was proposed for enhancement on the safety, efficiency, and reliability of railway transport through automated track condition monitoring ...
Abstract: Detecting cracks in underwater dams is crucial for ensuring the quality and safety of the dam. Currently, the mainstream method uses underwater robots equipped with cameras for automatic ...
Abstract: Falls can have significant and far-reaching effects on various groups, particularly the elderly, workers, and the general population. These effects can impact both physical and psychological ...
Abstract: Cracks identification on pavement surfaces is an important and prominent function in public infrastructure management and sustainability. Differing crack widths, complex geometries, and ...
Abstract: In this paper YOLOv8 deep learning model is proposed for vehicle detection, classification, and counting for urban traffic surveillance applications on custom dataset. The model was trained ...
What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...
Abstract: Crack detection is a fundamental effort to ensure road driving safety, aiming to detect potential safety hazards and avoid serious accidents. However, cracks can not be extracted completely ...
Abstract: Detecting cracks is a crucial task to ensure the safety of engineering. However, the complexity of the crack background and the highly uneven pixel ratio between the crack and the background ...
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