Advances in Consumer Research
Issue:6 : 3118-3125
Original Article
Detection of Steel Manufacturing Defects Using Few Shot Learning Multimodal Model
 ,
 ,
 ,
1
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

 

Keywords
Recommended Articles
Original Article
Exploring the Impact of Mergers and Acquisitions on India’s Banking Landscape: A Data Envelopment Analysis (DEA) Approach
...
Original Article
State Intervention and Spatial Inequality: Evaluating the Governance Effectiveness of Tourism Policy in Uttar Pradesh, India
Original Article
Brand Communities and Customer Advocacy in Management: Exploring Consumer Engagement in the Age of Social Media
...
Original Article
Transforming Human Resource Practices Through Artificial Intelligence: a Study of Organizational Readiness and Strategic Implementation in the Indian IT Sector
Loading Image...
Volume 2, Issue:6
Citations
1288 Views
940 Downloads
Share this article
© Copyright Advances in Consumer Research