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.
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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.
By the type of offerings the global 3D Machine Vision market
can be segregated into hardware and software. The hardware segment held a
significant share of the global market in the coming years owing to
technological advancements in the field of 3D cameras and image detection
techniques. On the basis of application, the market can be classified into
quality assurance & inspection, positioning & guidance, measurement,
identification, and others. High instances of theft as well as increasing
demand for global positioning systems will impact the positioning and guidance
segment positively. This in turn will drive the global 3D Machine Vision
market.
In terms of geography, the global 3D Machine Vision market
can be segmented into North America, Europe, Asia Pacific, Latin America, and
Middle East and Africa. Asia Pacific held the maximum share of the global 3D
Machine Vision market in 2016. The market in this region is anticipated to grow
at a considerable rate between 2017 and 2025. Rising adoption of automation
across all industry verticals, especially in automotive and consumer
electronics, is one of the prime reasons for the growth of the market in this
region. Moreover, existence of key manufacturing companies in countries such as
Japan, China, and South Korea will boost the growth of the 3D Machine Vision
market in the Asia Pacific region.
The key players operating in the global 3D Machine Vision
Market are Cognex Corporation (U.S.), National Instruments Corporation (U.S.),
Keyence Corporation (Japan), Isra Vision AG (Germany), Sick AG (Germany),
Basler AG (Germany), Mvtec Software GmbH (Germany), LMI Technologies (Canada),
Stemmer Imaging (U.K.), and Tordivel As (Norway).
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Netherlands, and Luxembourg)
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- Asia
Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
- Middle
East and Africa (GCC, Southern Africa, and North Africa)
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attractiveness of each major segment over the forecast period.
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