Forecast of Machine Vision Market Development

Machine vision is the use of machines instead of the human eye to make measurements and judgments. The machine vision system refers to the conversion of captured objects into image signals through machine vision products (ie, image capture devices, CMOS and CCD) and transfer them to a dedicated image processing system, which changes according to pixel distribution, brightness, color, and other information. Digital signals are generated; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination.

An important role of machine vision is to promote the promotion of industrial automation, which is the current development momentum of the domestic machine vision market. The user's demand is undoubtedly the most decisive among many factors in the popularization of machine vision. With the further development of China's manufacturing industry, the demand for machine vision has also been further improved. This is not only reflected in the market's capacity, but also reflected in the user's requirements for the quality and performance of machine vision products. At present, machine vision is being collected, analyzed, transmitted, judged, and gradually moved toward an open direction. This trend also indicates that machine vision will be further integrated with automation. Color vision systems and 3D monitoring Effects, embedded technology, hardware and software collocation, and solutions have become the latest technological trends in machine vision.

Although machine vision has undergone some revolutionary changes in the past few years, the field of color image processing is still relatively

One of the major reasons why slow speeds are developing is that solving a machine vision problem with color always requires more cost and processing power than an equivalent grayscale image scheme. However, this situation has changed in recent years.

With the application of vision in various industries such as semiconductors, pharmaceuticals, and textiles, ordinary gray-scale vision systems cannot meet the needs of users. In some applications, it is necessary to use color machine vision functions such as color pattern matching, chromatographic analysis, print color detection, and box identification.

For the needs of color vision applications, NI provides hardware and software solutions. On the hardware, NI supports thousands of cameras from different vendors and can capture color images from various analog cameras, 1394 cameras, or Camera Link cameras. At the same time, NI provides powerful software support for images. Vision Builder AI and VDM both include a variety of color image processing functions, which can directly perform positioning, pattern matching, color segmentation, and chromatography analysis based on the original color image.

Cognex also recently introduced three color vision systems of the In-Sight Micro product line. The new In-Sight 1403C is a 2-megapixel (1600×1200 resolution) system that can perform high-resolution inspections of many color applications.

Color vision system products have always been the direction of ADLINK's research and development, but in ADLINK's view, color applications are only suitable for occasions where color applications are suitable. Compared to the grayscale vision system, there is no difference between the users and the users. Suitable for. For example, in the medical industry, high-level grayscale image processing is the first choice for X-ray image analysis, and for endoscopic pathological analysis, color image processing becomes necessary. Therefore, the color vision system, because the imaging system involves a relatively complex, large amount of data (information), the image processing algorithm requires a higher limit in the development of a few years ago, the vision system without gray analysis is successfully used, and In the past few years, it will get a rapid development after overcoming technical bottlenecks.