The report "3D Machine
Vision Market by
Offering (Hardware, and Software), Product (PC Based, and Smart Camera Based),
Application, Vertical (Industrial and Non - Industrial), and Geography - Global
Forecast to 2022 ",
global 3D machine vision market is expected to be valued at USD 2.13 Billion by
2022, growing at a CAGR of 11.07% between 2017 and 2022.
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Increasing demand for application-specific machine
vision (ASMV) systems
The companies are continuously developing new
products and upgrading their existing product portfolio to withstand with the
growing competition in the market. Factors such as the increasing labor costs
and the better accuracy provided by robots are boosting the adoption of
robotics in almost all industries, thereby generating huge demand for 3D
machine vision systems. Inspection, identification, measurement, and tracking
of products are some of the major applications of 3D machine vision systems in automotive,
semiconductor, packaging, and other industries.
The new application areas of 3D machine vision
systems include automobiles outfitted with miniature smart cameras and sensors.
Built into a cruise control system, for instance, such a camera would alert the
driver if it noted a rapidly decelerating vehicle. The cameras could also take
the place of the rear view and the side-view mirrors, thereby eliminating
dangerous blind spots and recording the seconds prior to a collision, in the
event of an accident.
Another example would be automating the process of
fish fileting. Connected with the smart camera technology, a 3D image of the
fish is created while it is being transported along a conveyor; a structured
laser light from the system is used to illuminate the profile of the fish. This
structured laser light is then captured, along with visible light, using a 3-D
ranger camera to get a 3D image of the fish.
The established players are expected to benefit from
building application-specific 3D machine vision systems in-house. The
combination of the design and development efforts with vertical domain
expertise would be useful in providing improved margin professional services
such as solution design and consulting, deployment, and integration. Looking into
the future, there are likely to be an infinite number of applications for smart
cameras.
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Implementation of 3D depth sensing technology
3D machine vision is still
a new technology in the market. OEMs are focusing on improving their
manufacturing processes to provide new and better industry-specific products
that are easy to install and upgrade with the changing requirements. The 3D
sensor architecture should support optimized and standard hardware of IPs for
low- to high-level processing of the 3D vision software. Image processing in
the 3D depth sensors is slower than that in the 2D depth sensors. Data transfer
between the objects and the image sensors, and data processing also take a
longer time in case of 3D depth sensing technology. The biggest challenge
related to 3D machine vision systems based on low-cost depth sensors is to
maintain the quality of the acquired image.
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