Machine vision is a field of computer science that provides tools and methods for extracting information from an image for automated analysis. It includes computer-based hardware, software, and technologies. These digital systems can obtain information from visual data, such as images and videos, which can then be processed and analyzed through specific software algorithms.
Machine vision is often developed alongside artificial intelligence (AI), deep learning, machine learning, mathematics, and optics to enhance visual data recognition and processing. Because of its benefits, machine vision is used in a wide range of industries for applications such as automatic inspection and process control, including electronic component analysis, pattern recognition, materials inspection, object tracking, surface inspection and many others [1]. This blog post will provide an overview of machine vision and its primary applications.