Anomaly Detection in Industrial Inspection Visual Systems using Swin Transformer with Bayesian Optimization

Layth Hussein; N. Ramesh Babu; Bhanu Sekhar Guttikonda; K Valarmathi; Devara Vasavi

doi:10.1109/icdcece65353.2025.11035252

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Anomaly Detection in Industrial Inspection Visual Systems using Swin Transformer with Bayesian Optimization

Layth Hussein N. Ramesh Babu Bhanu Sekhar Guttikonda K Valarmathi Devara Vasavi

Year: 2025 Pages: 1-6

DOI: 10.1109/icdcece65353.2025.11035252

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Keywords:

Anomaly detection Transformer Visual inspection Computer science Artificial intelligence Bayesian probability Bayesian optimization Computer vision Pattern recognition (psychology) Data mining Engineering Electrical engineering Voltage

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Anomaly Detection in Industrial Inspection Visual Systems using Swin Transformer with Bayesian Optimization

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