首页|Studies from Kocaeli University in the Area of Artificial Intelligence Published (AdvancingTire Safety: Explainable Artificial Intelligence- Powered Foreign Obje ct Defect Detection with Xception Networks and Grad-CAM Interpretation)
Studies from Kocaeli University in the Area of Artificial Intelligence Published (AdvancingTire Safety: Explainable Artificial Intelligence- Powered Foreign Obje ct Defect Detection with Xception Networks and Grad-CAM Interpretation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Kocaeli Univer sity by NewsRx editors, research stated, “Automatic detection of tire defects ha s become an important issue for tire production companies since these defects ca use road accidents and loss of human lives.” Funders for this research include The Scientific And Technological Research Coun cil of Turkiye. The news reporters obtained a quote from the research from Kocaeli University: “ Defects in the inner structure of the tire cannot be detected with the naked eye ; thus, a radiographic image of the tire is gathered using X-ray cameras. This i mage is then examined by a quality control operator, and a decision is made on w hether it is a defective tire or not. Among all defect types, the foreign object type is the most common and may occur anywhere in the tire. This study proposes an explainable deep learning model based on Xception and Grad-CAM approaches. T his model was fine-tuned and trained on a novel real tire dataset consisting of 2303 defective tires and 49,198 non-defective. The defective tire class was augm ented using a custom augmentation technique to solve the imbalance problem of th e dataset.”
Kocaeli UniversityArtificial Intellige nceEmerging TechnologiesMachine Learning
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