In the automotive industry, ensuring the quality and reliability of components is paramount. Traditional quality control methods often rely on manual inspection, which can be time-consuming and prone to errors. This webinar explores how Valeo is leveraging the power of computer vision and AI to transform quality control processes for wire bonding. We will present a case study demonstrating how an AI-powered visual inspection system significantly reduced operator reevaluation by 97% and decreased errors tenfold. The presentation will detail the project's development, implementation, and results, highlighting the benefits of integrating AI into industrial manufacturing for improved efficiency and product quality. We will also discuss the challenges encountered and the solutions implemented, offering valuable insights for companies looking to adopt similar technologies.
Benoît Verger is a Data Scientist at Valeo in the POWER Digitalization department. He has over 20 years of experience in the automotive industry, with a background in production, process engineering, and industrialization. He introduces, imports, standardizes, documents, and deploys new technologies for production use. Since 2022, he has focused on introducing computer vision and AI, leading to significant automation of quality control, improving efficiency, and product quality.
