AI-Driven Industry 4.0: Advancing Quality Control through Cutting-Edge Image Processing for Automated Defect Detection

Abstract

In the age of Industry 4.0, cutting-edge technology is revolutionizing manufacturing processes, with quality control playing a critical role in ensuring product reliability and customer satisfaction. Traditional manual inspection approaches are time-consuming, arbitrary, and prone to errors. This research paper proposes a breakthrough way for automatic defect diagnosis that leverages cutting-edge image processing techniques to improve quality control in Industry 4.0. Using data from actual manufacturing processes, the study comprises extensive trial and evaluation of the proposed solution. The study's findings provide crucial insights for improving quality control methods in the age of Industry 4.0, as well as for improving defect detection systems in the manufacturing industry.