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.
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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.
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.
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.