Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing
Date
2021Language
en
Keyword
Abstract
Zero Defect Manufacturing (ZDM) can be described as the set of methodologies and strategies for the elimination of defective components during production, and is one of the main goals of Industry 4.0. ZDM is very appealing to industries grace to the reduction of operational costs associated with defective components. Efficient defect detection in modern production lines may benefit from Artificial Intelligence (AI) technologies in numerous stages of the manufacturing process. This paper presents a short review of AI technologies employed during product inspection and quality assessment. Indicative applications are reported to demonstrate that AI in its many flavors may be efficiently integrated into production environments and pave the way towards ZDM. © 2021 IEEE.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System
(2022)In the field of intelligent surface inspection systems, particular attention is paid to decision making problems, based on data from different sensors. The combination of such data helps to make an intelligent decision. ... -
A Placement-Aware Soft Error Rate Estimation of Combinational Circuits for Multiple Transient Faults in CMOS Technology
(2019)A considerable disadvantage that comes with the downscaling of the CMOS technology is the ever-increasing susceptibility of Integrated Circuits (ICs) to soft errors. Therefore, the study of the radiation-induced transient ... -
VASCULARIZED FIBULA TRANSFER FOR LOWER LIMB RECONSTRUCTION
(2011)Massive bony defects of the lower extremity are usually the result of high-energy trauma, tumor resection, or severe sepsis. Vascularized fibular grafts are useful in the reconstruction of large skeletal defects, especially ...