Introduction to Machine Vision
Machine vision has its roots in the field of computer vision, which is concerned with enabling computers to interpret and analyze digital images and video. Early efforts in computer vision were focused on the development of algorithms for image processing, pattern recognition, and object detection.
In the 1970s, researchers began to explore the use of machine vision in industrial applications such as quality control and inspection. The first machine vision systems were developed for use in manufacturing, where they were used to automate tasks such as sorting, assembly, and packaging. These early systems relied on simple sensors and cameras and were limited in their capabilities. However, advances in technology and the development of more sophisticated algorithms have led to the rapid growth of machine vision in recent years.
Today, machine vision is used in a wide range of applications, including robotics, autonomous vehicles, medical imaging, and more.
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