Precision in Sight of an AI-Based Visual Defect Detection System
In manufacturing industries, ensuring product quality is paramount. Visual inspection plays a crucial role in detecting defects, but manual inspection processes are often prone to errors and inefficiencies. This case study explores the implementation and impact of an AI-based visual defect detection system in a manufacturing facility. Through meticulous design, rigorous testing, and real-world deployment, the system's efficacy in enhancing quality control and optimizing production processes is evaluated.