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Machine vision is mainly used in the manufacturing industry to monitor components such as chips, resistors, wireframes, and capacitors. In the automotive industry, machine vision technology is mainly used in control systems. It mainly inspects paint surfaces, industrial robots, welding quality control, and engine blocks. Compared to manual systems, machine vision systems are more accurate and efficient through computer measurements and analysis. In addition, machine vision accuracy helps to enhance the automation of quality, including defect detection, quality inspection, and composition measurement.
According to the product type, the machine vision technology market can be divided into embedded, PC-based and smart camera-based machine vision technologies. In 2014, PC-based machine vision technology occupied the largest market share in the world, followed by embedded and smart camera-based machine vision technologies.
Why does a robot need to "see"? This may be due to the significance of the existence of robots, which is to help humans solve various problems. For example, with the continuous advancement of science and technology and society, and the constant improvement of medical care, the population will gradually move toward a trend of “low growth and low deathâ€. In this situation, the problem of aging will become more and more serious. If the robot can replace people in many areas to work, it can effectively solve the problem of labor shortage due to aging population.
Obviously, if you want robots to do a good job of replacement, the first thing to do is to allow them to "see". Not only that, we also need to look at many of the smart things we use in our daily lives. Including smart drones and smart vacuum cleaners, when they have the ability to observe things, they can well judge things, so that they can intelligently solve some problems on their own.
Today, with the development of electronic neural network systems and the continuous improvement of professional machine vision hardware technology, we are working hard to narrow the gap in the visual capabilities between robots and normal people. When one day, robots can have the same machine vision capabilities as humans, they can complete their own operations and thus replace us to do a lot of work. On that day, human society will rise to an unprecedented new height.
Technology dynamic characteristics of machine vision systems to improve flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or artificial vision is difficult to meet the requirements, machine vision is often used instead of artificial vision. At the same time, in the large-scale industrial production process, using artificial vision to check the product quality is inefficient and the precision is not high. Machine vision inspection methods can greatly improve the production efficiency and production automation.