Machine vision, also known as computer vision, is a field of study within artificial intelligence and computer science that involves enabling machines, typically computers, to interpret and understand images and videos from the real world. The goal of machine vision is to create systems that can mimic human vision, allowing machines to automatically analyze visual information and make decisions based on that analysis.
Machine vision systems typically involve the use of cameras, sensors, and algorithms to detect and analyze visual information. Some common applications of machine vision include object recognition, image classification, facial recognition, gesture recognition, and scene reconstruction. Machine vision is used in a wide range of industries, including manufacturing, robotics, healthcare, security, and transportation.
Advancements in machine learning and deep learning have led to significant improvements in machine vision capabilities in recent years. With the help of large amounts of data and sophisticated algorithms, machines can now accurately recognize and interpret images and videos in a way that was once thought impossible. This has led to the development of many new applications and technologies, and the field of machine vision continues to evolve and grow rapidly.
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