Advances in Consumer Research
Issue:6 : 3118-3125
Original Article
Detection of Steel Manufacturing Defects Using Few Shot Learning Multimodal Model
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Department of Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India-500043.
Abstract

Steel has wide range of yield strength with high modulus of elasticity. It is corrosion-resistant and long-lasting, making thinner and more durable structures. These properties make steel versatile and efficient material in construction and automotive. It enables the creation of innovative designs that are both strong and economical, while its durability ensures long-term performance. In some cases, defects in steel will occur which show impact on the final products. Figuring out these defects requires rigorous quality control during manufacturing and proper handling during fabrication and assembly. In this project, steel defects are detected using multimodal. As multimodal has the capability to capture insights from limited data, it can be used in the industries to find out the defects

 

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