Enhancing Quality Control in Industry 4.0: Advanced Image Processing for Automated Defect Detection

With the advent of Industry 4.0, the integration of advanced technologies has revolutionized manufacturing processes. Quality control plays a crucial role in ensuring product reliability and customer satisfaction. Traditional manual inspection methods are time-consuming, subjective, and prone to errors. This research paper proposes a novel approach to enhance quality control in Industry 4.0 through advanced image processing techniques for automated defect detection. The research will involve extensive experimentation and evaluation of the proposed system using real-world manufacturing data. The results of this study will contribute to the advancement of defect detection systems in the manufacturing industry and provide valuable insights for improving quality control processes in the era of Industry 4.0.