AI-Driven Predictive Quality Control for Real-Time Defect Detection and Process Optimization in Smart Manufacturing
Smart manufacturing requires quality-control systems capable of detecting defects and responding to process deviations in real time. This study develops an AI-driven predictive quality-control framework that integrates machine vision, sensor-based monitoring, sequential process modelling, and closed-loop multi-objectiv...