Is the concept of machine vision and computer visi

Is the concept of machine vision the same as that of computer vision

when I first know the terms Machine Vision and computer vision, I feel the same. They are both vision, and computers are also machines. Isn't studying computer vision just studying machine vision? Maybe many people feel the same with me, but after being involved in this field and through systematic learning, I find that they both have many similarities, but if you equate them, your vision will be restricted. They belong to different disciplines. The purpose of our research on computer vision to comply with the requirements of high-quality development is to bring "light" to the computer according to human visual characteristics, so that it can better replace people to work or complete the work that human beings cannot complete, better reduce the labor force for enterprises, greatly improve production efficiency, and constantly improve people's quality of life. Research on machine vision is better to provide more support for the manufacturing industry in industry, which is conducive to improving product quality and production efficiency

in machine vision, the computer is used as a carrier or tool, mainly using the high-efficiency CPU of the computer. Because what we see in vision is images, and the processing of images is often time-consuming, so we can complete image processing faster and win time for future control. The computer is "in charge". With the development of large-scale integrated circuits, FPGA DSP and other chips with processing ability are also constantly improving their performance. Will machine vision use them as a carrier to produce FPGA vision or DSP vision in the future

what is machine vision

"machine vision", that is, using machines instead of human eyes to make measurements and judgments

machine vision system refers to capturing the image through machine vision products (i.e. image pickup devices, divided into CMOS and CCD), and then transmitting the image to the processing unit. Through digital processing, the size, shape, color, etc. are judged according to pixel distribution, brightness, color and other information. Then, according to the result of discrimination, the equipment action on site is controlled

with the development of computer technology and fieldbus technology, machine vision technology is becoming more and more mature. It has become an indispensable product in modern processing and manufacturing industry, and is widely used in food and beverage, cosmetics, pharmaceuticals, building materials and chemical industry, metal processing, electronic manufacturing, packaging, automobile manufacturing and other industries. [excerpt from industrial control Forum:]

machine vision is a relatively new technology, which provides many technologies for the manufacturing industry in improving product quality, production efficiency and operation safety. There is a main reason why machine vision is becoming more and more popular: optical sensors are inherently clean, safe and versatile. It is possible to use vision to do things that other people do not know can be done with sensing methods, such as identifying stains, rust or superficial force units: kPa, psi (lbs/in^2), kgf/cm^2 surface corrosion, etc

among other related technologies, machine vision includes image digitization, image operation and image analysis, which are usually completed by computer. It is a specialty covering image processing and computer vision. However, we emphasize that machine vision, computer vision and image processing are not synonymous. One of them is not a subset of any other two. Computer vision is a branch of computer science, and machine vision is a special field of system engineering. Machine vision does not specify the use of computers, but special image processing hardware is often used to obtain high-speed processing speed, which ordinary computers cannot achieve

although video systems for industrial monitoring have been used as early as the 1930s, industrial machine vision systems first attracted attention in the mid-1970s. In the early 1980s, machine vision developed slowly, mainly academic research, and rarely attracted industrial interest. By the mid-1980s, machine vision had a great impetus, which was that major American automakers had a greater interest in vision systems. Then, the United States experienced a period of serious illusion, and many vision companies went bankrupt. In the late 1980s and early 1990s, machine vision system attracted widespread attention due to the greatly improved processing speed. In the mid-1990s, as modern RISC processors provided high processing speed on standard computing platforms, the role of general-purpose processors was modified. During this period, academic workers have been steadily improving flexibility in a wide range of products, which has replaced all research in the main branch of manufacturing industry. [quote:]

what is computer vision

computer vision refers to using computers to realize human visual functions? Therefore, "change" and "action" will be normalized D? D perception, recognition and understanding of the three-dimensional scene of the objective world. There are mainly two kinds of methods: one is bionics, which refers to the structural principle of human visual system and establishes corresponding processing modules to complete similar functions and work; The other is engineering method, which starts from analyzing the function of human visual process, does not deliberately simulate the internal structure of human visual system, but only considers the input and output of the system, and adopts any existing feasible means to realize the system function. [from image understanding and computer vision]

computer vision is a field at the forefront of instruction. We believe that computer vision, or bit "vision" for short, is a career, which is different from the study of human or animal vision. It uses geometry, physics and learning technology to build models, so as to use statistical methods to process data. Therefore, from our point of view, on the basis of a thorough understanding of camera performance and physical imaging process, vision makes a simple reasoning for each pixel, integrates the information that may be obtained in multiple images into a harmonious whole, determines the relationship between pixel sets in order to separate them from each other, or infers some shape information, and uses geometric information or probability and statistics technology to identify objects. [excerpted from computer vision? D? D a modern method]

computer vision has become an independent discipline, at least starting from the foundation work done by the generation of Professor Marr of Massachusetts Institute of technology, so the discipline of computer vision has a history of at least 20 to 30 years. During this period, computer vision has a wide range of potential applications, involves a wide range of disciplinary knowledge, and the research problems are very challenging. Therefore, it has always been a hot subject in computer science, and has absorbed the attention of many researchers engaged in psychology, neuroscience, physiology, biophysics, mathematics and computer science, so as to integrate image processing, pattern recognition The research results of artificial intelligence, mathematics, cognitive science, machine learning, computer graphics and other aspects are integrated

computer vision is a sub field of artificial intelligence. Its purpose is to enable computers to understand a scene or feature in an image. It includes the following explanations: [extracted from the definition of machine vision]

1 In order to control the target, obtain the required data through automatic image acquisition and analysis

2 Provide a navigation system for a robot capable of doing things and reacting so that it can change its position

3 A system that uses video cameras, robots, or other devices, and computers to do visual analysis operations or behaviors. Typical applications include automatic monitoring, optical character recognition and other non-contact applications

4. Machine vision is an application of computer vision in factory automation. Just as the monitor works on an assembly line to visually monitor objects and judge their quality, the machine vision system uses cameras and image processing software to complete similar monitoring. A machine vision system is a computer that makes decisions based on digital image analysis

according to the above definition, in fact, machine vision and computer vision do not have a very clear boundary, but are closely linked. They have the same theory, but differ in application according to the specific practical application goals. Computer vision and machine vision both want to obtain the description of the world from images or image sequences. Therefore, the mastery of theoretical knowledge of image acquisition and image processing at the basic level, image segmentation at the middle level, image analysis and image understanding at the high level is "the root of all changes" for both

it is the previous question that makes me find the answer. No matter whether the answer is correct or not, I have learned knowledge in the process, as the saying goes: "the important thing about a problem is not its solution, but the strength we gain in f he said that" people-oriented "reform will" integrate economic, political, social and ecological environment "into the solution." In fact, it is very important to find problems in research. Only when problems are found can we try our best to find solutions. If you have any good views or something wrong, you may wish to exchange them, hoping to gain new knowledge in the exchange and encourage yourself to continue studying and researching! (end)