Machine vision or MV is a method or technology which is used to deliver imaging-based automatic analysis and inspection for applications such as process control, robot guidance, and automatic inspection. Machine vision is a term that includes a variety of technologies, hardware and software products, actions, and integrated systems. Machine vision can be considered different from computer vision. Machine visions are primarily of two types – 2D (two dimensional) and 3D (three dimensional). The usage of 2D or 3D machine vision systems depends upon the application they are used in.
In 2D machine vision, a 2D map (X, Y) of the reflected intensity is taken and then it is processed. The processing usually consists of comparing contrasts (variations in intensity). 2D machine visions are conventionally used for applications such as label orientation, barcode reading and printing verification. On the contrary, 3D machine vision systems deals with all the three axes (X, Y, and Z). 3D Machine Vision scanners gives a point cloud (three dimensional coordinates) output. It is a digitized model of location and shape of object(s) scanned. Additionally, 3D machine vision has the ability to combine various point clouds from several scanners. For instance, a large entities such as a truck frame are scanned with multiple scanners if the scanners are placed strategically. Constant change in consumer requirement may pose a threat to the growth of the market. However, the enhanced functionalities of 3D machine vision systems are likely to drive the overall 3D Machine Vision market.
The global Machine Vision market can be segmented on the basis of product type, offerings, application, and geography. By product type, the market can be divided into pc-based systems and smart camera-based systems. Camera based systems are likely to grow at a maximum rate in the coming years. Cameras are the eyes of machine vision systems; they constitute sensors that can transform light in the lens into electrical signals. With the advancement of digitalization, 3D machine vision cameras have additional features such as high storage capabilities, built-in processing units and high-quality imaging. The global demand for image processing, compactness, and high-quality images has been increasing at a steady rate, thereby encouraging the growth of the 3D Machine Vision market during the forecast period.
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