In the machine vision industry, the latest technologies are being introduced drastically; several trends concerning technology are constantly evolving. Here is an attempt to summarize some of them.
Fremont, CA: The machine vision sector has been continually undergoing changes which are quite interesting to follow and analyze carefully. These emerging technology trends have been considerably reshaping the industry. For instance, uncertainty with respect to economic conditions is expected to influence the industry. However, the impact fails to be damaging though significant.
As per recent researches, the machine vision solutions industry is expected to grow from being priced at $11.94 billion in 2018 to $17.38 billion by 2023. The expected CAGR rate of growth is 7.8 percent.
Increasing Prominence of Embedded Vision
Embedded Vision is likely to remain a noteworthy trend for the contemporary machine vision industry. The prominence of this technology is due to the applications it supports in numerous markets. Autonomous driving, consumer electronics, agriculture, distribution, and broader surveillance have been some of them.
Processing power has enhanced tremendously, and memory has turned very inexpensive. Today’s technical users possess the requisite knowledge to choose. As an example, by using a small camera, it is now possible to leverage data from the cloud from different sources. When these factors are combined with machine learning to form a single package, embedded vision is achieved.
Conventional machine vision might not be capable of competing with the contemporary embedded vision in several use cases. However, the traditional machine vision is experiencing a revolution on its own.Embedded vision has been the most trending topic in the machine vision sector in the recent past. Several exciting possibilities of embedded vision systems continue to exist in all aspects of daily life and the commercial industry. However, it has exclusive value in the machine vision space.
Point cloud can be termed as the set of data points within a 3D space. A better way to describe it will be that all points located on the surface of the object encompass 3D coordinates, the X, Y, and Z, which are referred to as point cloud.
Point cloud, as one of the robust 3D machine vision powered technologies, is capable of providing an exact depiction of where an object is likely to be in the given space. It is due to this reason that Point cloud has multiple applications that involve object movement tracking or object identification.
A few of these applications include scanning of construction sites, mapping utility infrastructure, and scanning construction sites, besides many others. These applications have several uses even with respect to tackling real-world concerns, including repairs, urban planning, natural disaster management, and so on.
This is an emerging trend in the machine vision industry for the current year. The next-gen modular hyperspectral systems for imaging are capable of providing analysis of chemical material properties concerning industrial environments. It is easy to visualize a material’s molecular structure with different colors in the consequential images. As a result, the chemical composition can be analyzed quickly with standard machine vision software.
This imaging technology is finding increased applicability in detecting plastic in meat and also in identifying various recyclable materials besides many others. What makes this technology a hot trend for the year 2019 are factors including better algorithms, on camera calibration, and the emergence of faster procedures.
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