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This article will introduce you to the principles of the machine vision system and its characteristics.
As the eyes of the computer, computer vision is a way for the machine to know the world and understand the world. Understanding the world and understanding the world is an indispensable part of AI products or solutions. Only by seeing, machines can make analytical judgments and perform more tasks instead of humans. Together with speech recognition, it forms the cognitive intelligence of artificial intelligence, allowing machines to detect the external world, make judgments, and take actions, making more complex intelligent decisions and making autonomous actions possible.
Principles of the machine vision system
Machine vision simulates human visual function by taking images by computer and realizes the extension of human vision. A complete machine vision system generally includes a light source, a lens, a camera, an image capture card or an image processing unit, core software, a monitor, a communication or an input/output unit, and etc. By an image capturing apparatus such as a camera, the machine vision system converts the captured object into an image signal, and transmits the image signal to an image processing system, which converts the image signal into a digitized signal according to information such as pixel distribution, brightness, and color. The processing software calculates these signals to extract the features of the target, and then controls the action of the equipment on the spot according to the discriminant result.
Analysis of Machine Vision Characteristics
Machine vision is characterized by automation, objectivity, non-contact and high accuracy. Compared with general image processing systems, machine vision emphasizes accuracy and speed, as well as reliability in industrial field environments. Machine vision has great application value in repetitive and mechanical work.
Objective and efficient
In repetitive work environments, human eye detection is often affected by fatigue or subjective emotions. Machine vision systems, on the other hand, can do a lot of repetitive work continuously and tirelessly. Thus, the efficiency and objectivity of the detection in the production process are effectively ensured, and the accuracy and continuity of the measurement are improved.
High precision
The advent of machine vision has made precise measurements of tiny dimensions possible. The size measurement of machine vision system is a relative measurement method, which calculates the size of the object through magnification calibration and screen image measurement. With a high-power industrial lens or microscope head, everything from tiny mechanical parts to tiny biological cells can be measured using machine vision. In addition, machine vision usually has a wide spectral response range and can capture details that cannot be recognized by the human eye, making its detection more accurate and effective.
Automation
The features of machine vision automation help to perform work in harsh environments. In many situations where workers cannot enter, machine vision systems can replace them to enter dangerous areas and complete industrial production tasks.
Non-contact
Machine vision uses non-contact measurement techniques. This technique avoids damage to the subject during testing because it does not require contact with the product. In addition, detection of an untouchable object, for example, in an environment such as high temperature or high pressure or for a non-fixed product, can also be implemented by using a machine vision technology. This greatly expands the detection range in industrial production and improves the production quality of products.
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