Understanding The Value Proposition For Deep Learning in Machine Vision
Deep learning software represents a powerful tool in the machine vision toolbox, but one must first understand how the technology works and where it adds value.
Deep learning has become recognized as a useful tool in the integration and implementation of industrial machine vision systems. With its ability to leverage artificial intelligence (AI) to “learn” from continual analysis of data-centric models, deep learning provides value in certain industrial quality inspection applications, including defect detection and assembly verification.
Artificial intelligence can involve many different things, including natural language processing, speech recognition, and robotics. Thus, AI is regarded as a science as opposed to a technology, because it encompasses several technologies and engineering disciplines, including machine vision, computer vision, machine learning, and deep learning.