Application of machine vision intelligence in life

The application of machine vision intelligence in life is as follows:

Computer vision has applications in face recognition, security, agriculture, industry, medical care, driverless and other scenes.

Computer vision is a science that studies how to make machines "see". Further, it refers to using cameras and computers to identify, track and measure targets instead of human eyes, and further processing the graphics, so that computers can process images that are more suitable for human eyes to observe or send them to instruments for detection.

As a scientific discipline, computer vision studies related theories and technologies, trying to establish an artificial intelligence system that can obtain' information' from images or multidimensional data. The information here refers to the information defined by Shannon, which can be used to help make "decisions".

Because perception can be regarded as extracting information from sensory signals, computer vision can also be regarded as a science to study how to make artificial systems "perceive" from images or multidimensional data.

Analysis:

Vision is an inseparable part of various intelligent/autonomous systems in various application fields, such as manufacturing, inspection, document analysis, medical diagnosis and military.

Because of its importance, some advanced countries, such as the United States, list the research of computer vision as a major basic problem in science and engineering that has a wide impact on economy and science, that is, the so-called great challenge. The challenge of computer vision is to develop human visual ability for computers and robots.

Machine vision needs image signal, texture and color modeling, geometric processing and reasoning, and object modeling. A capable vision system should closely integrate all these processes. As a discipline, computer vision began in the early 1960s, but many important advances in basic research of computer vision were made in the 1980s.

Computer vision is closely related to human vision, and a correct understanding of human vision will be very beneficial to the study of computer vision. To this end, we will first introduce human vision.