Industrial Vision Systems and Defect Detection
Industrial Vision Systems and Defect Detection is a topic indexed in ScholarIQ from OpenAlex.
What is known about Industrial Vision Systems and Defect Detection?
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.
How many works does Industrial Vision Systems and Defect Detection have?
Industrial Vision Systems and Defect Detection has 102,592 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Industrial Vision Systems and Defect Detection have?
Industrial Vision Systems and Defect Detection has 743,770 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Industrial Vision Systems and Defect Detection?
The OpenAlex for Industrial Vision Systems and Defect Detection is on the source record.