Machine vision technology gives machines smarter "brains" and brighter "eyes"

  In the automation industry, machine vision technology is an interdisciplinary subject involving many fields such as artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition, etc. Machine vision mainly uses computers to simulate human visual functions, extract information from images of objective things, process and understand it, and finally use it for actual detection, measurement and control. The biggest features of machine vision technology are fast speed, large amount of information, and multiple functions.

  The introduction of machine vision , replacing traditional manual inspection methods, has greatly improved the quality of products put on the market and improved production efficiency. Since the machine vision system can quickly acquire a large amount of information, is easy to process automatically, and is easy to integrate with design information and processing control information, in the modern automated production process, machine vision systems are widely used for working condition monitoring and finished product inspection. and quality control. Machine vision systems are characterized by increased flexibility and automation in production.

  In some dangerous working environments that are not suitable for manual work or in situations where artificial vision cannot meet the requirements, machine vision is often used to replace artificial vision; at the same time, in large-scale industrial production processes, using artificial vision to inspect product quality is inefficient and inaccurate. , using machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration and is the basic technology for realizing computer integrated manufacturing.

  For example: machine vision systems have been widely used in all aspects of quality inspection, such as: large workpiece parallelism and perpendicularity measuring instruments using laser scanning and CCD detection systems, which use a stable collimated laser beam as the measurement baseline, and are equipped with Using the rotary axis system, the pentagonal prism is rotated to sweep out reference planes that are parallel or perpendicular to each other, and compared with each surface of the large workpiece to be measured. When processing or installing large workpieces, this tool can be used to measure the parallelism and perpendicularity between surfaces.

  In addition, production and quality control and closed loops with machine vision and artificial intelligence as the core can help enterprises improve quality, increase efficiency, reduce costs, and reduce inventory. Machine vision realizes the entire process from material tracing, production processing, component assembly, and quality inspection. Process management, through "scientific digitization" and "big data" means, completes measurable, controllable, and manageable automated production line upgrades, and ultimately creates a smart factory that fully replaces manual operations.

  Here, the editor would like to say that smart equipment and smart production are the foundation of smart manufacturing. The implementation of machine vision technology in "smart factories" will not only give machines smarter "brains" and brighter "eyes", but will also Further improve products in new infrastructure fields such as industrial artificial intelligence and industrial Internet.

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