Machine vision is the technology of using machines to replace human eyes for measurement and judgment
Specifically, machine vision systems convert target objects into image signals through image capture devices such as CMOS and CCD cameras, and then transmit these signals to dedicated image processing systems. The image processing system converts these image signals into digital signals based on pixel distribution, brightness, color, and other information, and extracts the target's features through calculations on these signals. Finally, based on the analysis results of these features, the machine vision system can control the actions of equipment on site.
Machine vision is mainly applied in industrial, agricultural, medical, military, and aerospace fields, used for automatic inspection, process control, and robot navigation. It can accurately measure product dimensions, detect defects, recognize shapes, and even guide robots to perform precise operations in complex environments.
In addition, machine vision is a systems engineering discipline that encompasses knowledge and technology in areas such as image processing, mechanical engineering, control, electric light source lighting, optical imaging, sensors, analog and digital video technology, and computer hardware and software technology.
Computer vision in computer science is quite different, although both involve the processing and analysis of images, machine vision places more emphasis on practical applications and automation control.
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