Industrial Vision Systems and Defect Detection

Industrial Vision Systems and Defect Detection is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 48k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of machine vision, texture analysis, and deep learning techniques for the automated detection and classification of fabric defects in industrial settings, particularly in semiconductor manufacturing. The research covers various methods such as Gabor filters, wafer map defect classification, and virtual metrology to enhance the accuracy and efficiency of fabric defect detection systems.

• Fabric Defect Detection
• Machine Vision
• Texture Analysis
• Semiconductor Manufacturing
• Deep Learning
• Wafer Map Defect Classification
• Gabor Filters
• Automated Inspection
• Surface Defect Detection
• Virtual Metrology