How will Automation Trend Benefit the Machine Vision Market? - PowerPoint PPT Presentation

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How will Automation Trend Benefit the Machine Vision Market?

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The Machine Vision Market blog provides the latest news, research, and insights on machine vision technology. Learn about new machine vision systems and applications, software updates, and market findings. – PowerPoint PPT presentation

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Title: How will Automation Trend Benefit the Machine Vision Market?


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How will Automation Trend Benefit the Machine
Vision Market?
Rapidly evolving technology and a digitally
focused world have paved the way for advanced
automation to enter the workforce. The desire to
reduce human interference in various operations,
with a need to fasten processes, has enhanced its
demand. Automating processes with central control
calls for strict inspection by using visual
cameras and inspection software, and has
generated the demand for machine vision. Machine
vision (MV) is a technology that facilitates a
computational device to identify, assess, and
analyze still or moving images. This process
involves integrating several components like
digital cameras, back-end hardware, and software
for image processing. It enables to visually
inspect products and guide robots in real time
without the need for operator intervention.
Overview Market Share Dynamics According to
Triton Market Researchs estimates, the global
machine vision market is likely to advance with a
CAGR of 7.55 during the forecasted period
2022-2028. The need for proper defect detection
and the surging trend of miniaturized products
are prime drivers to the market. On the contrary,
limited awareness pertaining to MV systems is
vastly restraining the markets growth. Moreover,
the dearth of professionals to operate these
systems and the complications encountered while
deploying them also create hurdles in the growth
path. Global Machine Vision Market Segmentation
Trends Machine vision is considered a remarkable
technological advancement as it provides
innovative solutions in the direction of
industrial automation for various manufacturing
processes. Today, various end-user verticals have
incorporated machine vision technology in their
processes, which has led to its
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  • increased demand. In addition, rapid development
    is seen in MV technology. Thus, newer types of
    imaging systems are available today, with robust
    components, and are used for a range of purposes,
    thereby creating greater benefits for the users.
  • Check out key Segmentation Trends that Shape the
    Market
  • Machine vision sees huge potential in the
    healthcare vertical. Quality control is very
    important in the field of healthcare-related
    manufacturing, and the implementation of MV
    systems plays a major role in achieving the
    highest accuracy. In February 2018, Dubai
    strengthened its position as a global leader in
    medical technology, by launching the Mobilis
    (MOdern BIonic LImb Solutions) smart factory. The
    plant facilitates advanced manufacturing
    processes like IoT, cloud computing, and robotics
    to produce prosthetic and orthotic devices.
  • 3D machine vision systems perform multiple
    inspections and are equipped with advanced
    cameras, sensors, processors, and illuminators.
    3D type systems are the most dynamically
    performing MV systems. One of the most eminent
    and widely used 3D imaging products is the
    Microsoft Kinect for the gaming console Xbox 360,
    which uses the structured light principle for
    calculating depth. Other common 3D imaging
    techniques include stereo vision, laser
    triangulation, interferometry, and time of flight
    (TOF).
  • Camera is a vital hardware component that plays
    an important role of capturing images. The
    segment is driven primarily by smart cameras.
    Smart camera-based machine vision systems are in
    high demand due to their advanced technology,
    ease of installation, low cost, and user-
    friendliness. With rapid adoption, this equipment
    is slowly capturing the market. In June 2021,
    Teledyne FLIR launched A500f and A700f smart
    sensor-based cameras. They offer high-
    temperature detection and condition monitoring
    for extreme environments and are paired with
    on-camera analytics and alarm capabilities.
  • Inspection is one of the prime applications of MV
    systems and is crucial for assuring product
    quality. Inspecting products helps detect
    functional flaws, contaminants, and other
    defects. Some examples include inspecting
    displays to confirm pixel presence or verifying
    icons, assessing medicine tablets for flaws, or
    monitoring touch screens to measure backlight
    contrast levels. In August 2021, OMRON
    Corporation introduced the PCB inspection system
    as a part of its VT-S10 Series. It is enabled
    with AI to automate the inspection process with
    high-precision and features an industry-first
    imaging technique, eliminating the need for
    specialist skills.
  • Future Scope - Smart Manufacturing
  • In this global race towards greater automation,
    machine vision is not only being used in
    traditional industrial sectors, but is also
    conquering brand new areas. Several organizations
    are using these advanced systems in a bid to
    reduce manufacturing cost time, enhance
    flexibility, gain better process control, and
    easily oversee daily processes. This is
    facilitating the shift towards upgradation to
    completely automated smart factories to stay
    ahead of intense competition.
  • Additionally, with high market attractiveness,
    numerous global players have begun investing
    heavily in the machine vision market. They are
    also engaging in research and development
    activities to make their

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systems more efficient and cost-effective. The
adoption of automation by the manufacturing
sector has thus led to a technological
renaissance, thereby propelling the growth of the
machine vision market. FAQs Q 1) What are the
different types of machine vision systems? 1D,
2D, and 3D are the different types of machine
vision systems used. Q 2) Which are the different
verticals in which MV systems are
used? Automotive, electronics semiconductors,
healthcare, food packaging, and other
industries are the key areas where machine vision
systems are being adopted.
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