Deep Learning: Its Proper Role and Use in Machine Vision

Abstract

Artificial intelligence, specifically machine learning by way of deep learning, is having a tremendous beneficial impact on the world at large. Deep learning technology is used in a myriad of applications, from giving virtual assistants the ability to process natural language, to enhancing the e-commerce experience through recommendation engines, to assisting medical practitioners with computer-aided diagnosis, to performing predictive maintenance in the aerospace industry. Deep learning technology is also a key enabler of Industry 4.0—the fourth industrial revolution that has occurred in manufacturing, specifically with the use of smart and autonomous systems fueled by data and machine learning—where machine vision technology is an important contributor. Crucial to note is that deep learning alone is not capable of tackling all manners of machine vision tasks, and requires careful preparation and upkeep to be truly effective. This white paper will detail how machine vision—the automated computerized process of acquiring and analyzing digital images primarily for ensuring quality, tracking, and guiding production—benefits from deep learning as the latter is making the former more accessible and capable.

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