Developing an Interferogram-Based Module with Machine Learning for Maintaining Leveling of Glass Substrates

In this research, we propose a method that utilizes machine learning to maintain the parallelism of the resonant cavity in a Fabry–Perot interferometer designed specifically for glass substrates. Based on the optical principle and theory, we establish a proportional relationship between interference...

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Bibliographic Details
Main Authors: Syuan-Cheng Chang, Chung-Ping Chang, Yung-Cheng Wang, Chi-Chieh Chu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/6/668