Machine vision originated in the 1950s, when Gilson proposed the concept of "optical flow" and developed a pixel-by-pixel computational model based on the relevant statistical model, marking the development of the statistical model of 2D images.
In 1960, American scholar Roberts put forward the idea of extracting three-dimensional structure from 2D images, which triggered the attention of MIT Artificial Intelligence Laboratory and other organizations on machine vision, and marked the beginning of three-dimensional machine vision research.
In the mid-1970s, the MIT Artificial Intelligence Laboratory formally opened the "machine vision" course, and researchers began to vigorously carry out research on "objects and vision" related topics.
In 1978, David Marr pioneered the "bottom-up" method of capturing object images through computer vision, which started with 2D outline sketching, and gradually completed the capture of 3D images, and this method marked a major breakthrough in machine vision research.
Beginning in the 80's, machine vision set off a global research boom, methodology and theory of iterative updating, OCR and smart cameras, etc. were introduced in this stage, and gradually triggered a wider dissemination of machine vision-related technologies and applications. in the early 90's, the vision company was established, and the development of image processing products. And then, machine vision related technology is constantly put into the manufacturing process, making the rapid expansion of the machine vision field, hundreds of companies began to sell a large number of machine vision systems, the complete machine vision industry gradually formed. At this stage, the rapid development of LED lights, sensors and control structures further accelerated the progress of the machine vision industry and made the industry's production costs gradually reduced.
From 2000 to the present, more high-speed 3D vision scanning systems and thermal imaging systems, etc. were gradually introduced, and machine vision hardware and software products spread to all stages of manufacturing, and the application areas are also expanding. Nowadays, machine vision as the underlying industry of artificial intelligence and electronics, automotive and other industries, is still in the stage of rapid development, with good prospects for development.
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