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Development history and development trend of machine vision inspection technology

Last Updated on 2018-07-26 Hits:2475

Keywords: machine vision
Abstract: Since machine vision inspection can maximize productivity and reduce costs, the machine vision system can work 24 hours a day, and perform 100% on-line inspection at high speed. The accuracy of inspection is also achieved. Close to 100%, so the industry uses a large number of machine vision detection technology. Machine vision is a new technology developed in recent years. It uses optical and electromechanical integration to make machines have visual functions. Introducing machine vision into the field of inspection, online precision high-speed measurement can be achieved in many occasions. At the same time, the theory of machine vision detection technology has also developed step by step, which can be divided into the following development processes and development trends.
Because machine vision inspection can maximize productivity and reduce costs, while the machine vision system can work 24 hours a day, and perform 100% on-line inspection at high speed, the accuracy of inspection is close to 100. The degree of %, so the industry uses a large number of machine vision detection technology. Machine vision is a new technology developed in recent years. It uses optical and electromechanical integration to make machines have visual functions. Introducing machine vision into the field of inspection, online precision high-speed measurement can be achieved in many occasions. At the same time, the theory of machine vision detection technology has also developed step by step, which can be divided into the following development processes and development trends.
1. Primary Vision Theory: The inverse problem mainly for optical imaging consists of a series of processes that can recover the physical properties of a three-dimensional visible surface from a two-dimensional light intensity array. The input data and calculation purposes of each process here can be clearly described, such as edge detection, stereo matching, and motion recovery structure. In the process of projecting a three-dimensional object into a two-dimensional image, the three-dimensional information has many losses, which leads to the pathological problem. Therefore, it is particularly important to strengthen the research on the primary visual process and its constraints, mainly for 3D reconstruction and binocular vision.
2. Active Vision Theory: Active Vision refers to the technical method by which an observer can track and target objects in a determined or indeterminate manner. In active vision, the observer and the target object can also move at the same time. The observer's motion provides additional conditions for studying the shape, distance and motion of the target. The important research directions are target tracking, missile interception and so on.
3. Visual information fusion: Combining multiple visual information, it is possible to break through the limitations of single visual information acquisition, to achieve the use of static and instantaneous visual information acquisition in an ideal environment, to meet the requirements of understanding complex and objective world. The main research areas are Image information fusion.
4. 3D scene reconstruction: At present, the recovery theory and algorithm for 3D scenes are limited to the “visible” part of the scene, which belongs to 2.5-dimensional information expression and only provides 3D information within the visible contour of the object. Restoring the complete information of the visible and invisible parts of the surface of the scene is a complex but urgent problem to solve.
5. Algorithm performance evaluation: Machine vision research pays attention to whether the task can be carried out or can be completed, and lacks the engraving and evaluation of the performance quality of the algorithm and system method. In practical applications, efficiency and performance are important, otherwise algorithms and systems cannot go out of the laboratory. Therefore, the establishment of machine vision algorithm performance evaluation is indispensable.
6. Visual Parallel Computing: There are many theoretical, algorithmic, and technical problems in visual real-time computing. The development trend of visual parallel computing architecture is to adopt smaller and smaller processing units in larger and larger structures, and its development direction is composed of basic logic operation processing units to form a huge processing network system.
7. Universal Visual Information System: A universal visual information system that can perform various visual tasks, that is, a machine vision system that is analogous to the functions of the human visual system. By establishing a dedicated visual system platform, it gradually develops into a perfect general vision system, such as vision. Platform, highly intelligent visual robots, etc.
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