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Machine vision is the application of computer vision to solve real-world problems in production, industry and other settings. With the developments of electronic image sensing technologies, including high-resolution cameras, advanced image-processing software, artificial intelligence-based algorithms and autonomous robots, machine vision technology has seen significant advancement in recent years. In machine vision ((093)6013479), a machine vision system is composed of a sophisticated computer system, an image capture device such as a camera or scanner, and optoelectronic components such as lenses, filters, lighting, and other elements used for producing, acquiring and analyzing images, and generating desired output.The main application fields of machine vision are in the industrial, medical, security, commercial, construction, and robotic industries. In the industrial sector, machine vision is used in automated inspection and quality control applications, including vision-guided robotics, machine metrology, and industrial automation. In the medical sector, machine vision is used to improve medical diagnostics and robotic surgery, as well as image-guided drug delivery systems. In the security field, machine vision systems are deployed for automated surveillance, biometric identification, and consumer object detection. In the construction industry, machine vision is used in robotic welding and 3D imaging, as well as in optimizing the layout of construction projects. In the automotive sector, machine vision is used to support self-driving cars, as well as in assisted driver navigation systems. Additionally, it is used in condition-based maintenance, such as predictive maintenance solutions for cars, planes, and other complex machine types.In terms of working principle, machine vision uses digital image processing to interpret images and generate data. The basic idea is to capture images and then process them using computer algorithms. This typically involves extracting features from the images, such as colors, shapes, textures, identifiers, and other parameters, which can then be used to detect objects or perform other functions.For example, a camera may be used to capture a specific object or scene in an image. This image is then processed using automated algorithms to detect the presence of certain features or objects in the image. Once the features and objects are detected and identified, additional instructions can be given to the robot or vehicle in order to perform a desired action. For example, a robot may be instructed to pick up a specific object or move to a certain location based on the detected features. Additionally, machine vision can be used to detect anomalies in images. For example, it can be used to detect defects in manufacturing, such as scratches, contamination, or incorrect dimensions. The machine vision system can detect these defects by searching for patterns or shapes that are either out of the norm, or that don\'t fit certain established parameters.In summary, machine vision technology is an important field of artificial intelligence and computer vision research that has many practical applications in the industrial, medical, security, commercial construction, and other industries. Its main application fields include automated inspection and quality control, image-guided drug delivery systems, automated surveillance, biometric identification, and more. Additionally, it uses digital image processing to interpret images and generate data by extracting features from the images, such as colors, shapes, textures, identifiers, and other parameters that can then be used to detect objects or perform other functions.

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