A systematic review of deep learning based machine vision for quality control in industry 4.0
This systematic review analyzes the evolution of deep learning models from traditional Convolutional Neural Networks to transformer-based architectures, examining how these developments address challenges in defect detection and classification on modern industrial production lines, and outlining future research priorit...