Publications by authors named "Vinod Vasan"
Article Synopsis
- - This study introduces a vision transformer for identifying visual defects on steel surfaces, using an open-source dataset to categorize conditions into six fault types: crazing, inclusion, rolled in, pitted surface, scratches, and patches.
- - The model undergoes resizing of defect images and various hyperparameter adjustments to find the best configuration, achieving a high accuracy rate of 96.39% for defect detection and classification.
- - The research not only highlights the effectiveness of the vision transformer architecture compared to other methods, like convolutional neural networks (CNNs), but also demonstrates its potential for real-time condition monitoring of various defects.
Monitoring tire condition plays a deterministic role in the overall safety and economy of an automobile. The tire condition monitoring system (TCMS) alerts the driver of the vehicle if the inflation pressure of a particular tire decreases below a specific value. Owing to the high costs involved in realizing this system, most vehicles do not feature this technology as a standard.
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