Machine Vision Market: Transformative Industrial Applications

1
Machine Vision Market Transformative Industrial
Applications With the potential to solve complex
industrial tasks reliably and consistently,
machine vision is employed in a variety of
applications. These include electronic component
analysis, material inspection, and pattern and
object recognition, in addition to validating
currency, optical characters, and signatures.
According to Inkwood Research, the global machine
vision market is projected to progress with a
CAGR of 5.54 during the forecasted period of
2023 to 2032. Moreover, the market is set to
acquire a revenue share of 19069.88 million by
2032.
Machine vision utilizes the latest artificial
intelligence (AI) technologies to provide
industrial equipment with the ability to see and
analyze tasks in avenues like quality control,
smart manufacturing, and worker safety. Aligning
with this, lets explore how machine vision is
transforming the operations and functionality of
various industries globally 1. Manufacturing
Machine vision in the field of manufacturing
can significantly boost product quality and
system efficiency. By integrating this technology
into production lines, manufacturers can achieve
higher throughput, empower staff to focus on
high-value tasks and optimize labor costs. A
successful example of this synergy can be
witnessed in Audis collaboration with Intel and
Nebbiolo Technologies. Through the incorporation
of predictive analytics and machine learning
algorithms in weld inspection and
quality-control processes, Audi experienced a
notable increase in daily weld analysis, reduced
labor expenses, and a shift towards proactive
monitoring. This transformation also enabled Audi
to prevent issues before they occur,
rather than merely reacting to them, thus
streamlining the luxury vehicle
2

• manufacturers production operations for better
  outcomes.
• Electronics With the advent of new
  manufacturing technologies and processes in the
  semiconductor and electronics industries, the
  demand for machine vision has surged. Customers
  are recognizing its pivotal role in maintaining
  high yields and profitability, both in
  traditional applications and emerging ones. Some
  of the developments in this regard include
• OMRON Corporation (Japan) launched the PCB
  inspection system VT-S10 Series, featuring an
  industry-first imaging technique as well as
  artificial intelligence in order to automate the
  high-precision inspection process for electronic
  substrates. This machine vision advancement
  eliminates the need for specialist skills,
  streamlining the inspection process for enhanced
  efficiency and accuracy.
• Cognex In-Sight 2D Machine Vision Systems by
  Cognex Corporation (United States) has the
  ability to identify and inspect various
  components and parts. These industrial-grade,
  self-contained vision systems amalgamate a
  collection of advanced vision tools with
  high-speed image acquisition as well as
  processing for enhanced efficiency and precision.
• Automotive Guidance is one of the most crucial
  tasks for a machine vision system as it helps the
  robots perform tasks more
• efficiently. However, in the automotive industry,
  analyzing the interior of the vehicles body
  becomes challenging since the robots require full
  access.
• Here, cameras, as well as other sensors, provide
  automated systems with the complete image of the
  automobile. Moreover, the guidance segment,
• under the application category, is set to grow
  with a CAGR of 4.82 by 2032. (Source Inkwood
  Research)
• Market players in the automotive industry are
  making significant strides in adopting
  technologically advanced and innovative products
  for machine vision guidance applications. This
  momentum is expected to drive market growth
  during the forecast period.A notable example
• is Advantechs (Taiwan) recent launch of the
  AIIS-3411, an intelligent system with
  applications across various verticals. Powered by
  a 10th
• generation Intel CoreTMi CPU (LGA1200), this
  all-in-one machine vision
• IPC supports PoE or USB 3.0 camera interface
  through four dedicated channels. With its
  versatility, AIIS-3411 finds extensive use in
  machine automation applications, including visual
  guidance robotics, automated guided vehicles
  (AGV), autonomous mobile robots (AMR), AI and
  deep learning, among others.The introduction of
  such cutting-edge technology promises to enhance
  production efficiency and reduce costs, thus
  making it a game-changer for the machine vision
  market.

machine vision offers constant checks on product
contents, labeling, and
3

• packaging for quality assurance. Moreover,
  complying with stringent FDA regulations,
  pharmaceutical companies are now required to
  track products by serial number, associating them
  with specific manufacturing facilities, batch
  numbers, and dates.Aligning with this, in January
  2023, Asensus Surgical (United States) revealed
  that its surgical robot,
• the Senhance system, has received the CE mark for
  an extended range of
• machine vision capabilities. This regulatory
  approval expands the Intelligent Surgical Units
  (ISU) functionalities, granting it broader
  machine vision capabilities in Europe, Japan, and
  the United States.Furthermore, ASMV or
  application-specific machine vision systems,
  designed to address a specific application, are
  widely used in the pharmaceutical industry.
• Accordingly, Symetix, a United States-based
  pharmaceutical and nutraceutical group, offers
  Vantyx and OptyxSG systems. While Vantyx is
• dedicated to high-performance color inspection
  for tablets in blister packs, OptyxSG systems are
  used to inspect softgels and
• tablets.According to Inkwood Research, ASMV is
  projected to be the fastest-growing hardware
  component, progressing with a CAGR of 5.78
  between 2023 to 2032. As global regulations
  continue to evolve,
• machine vision systems are becoming indispensable
  tools, empowering the pharmaceutical industry to
  uphold the highest standards of integrity and
  safety in its products.
• As the rapidly-emerging technology continues to
  advance and integrate with emerging trends like
  AI and automation, the global machine vision
  market is poised for significant growth and
  innovation. Subsequently, this factor is set to
  revolutionize industrial processes and machine
  vision applications over the upcoming years.
• FAQs
• What are the challenges in adopting machine
  vision?
• A While machine vision offers significant
  advantages, some challenges include the high
  initial costs of hardware and software, the need
  for technical expertise to develop and maintain
  algorithms, and the complexity of integrating
  machine vision into existing manufacturing
  systems.
• How is machine vision different from computer
  vision?
• A Although machine vision and computer vision
  are related fields, they have different focuses.
  While machine vision, a subset of computer
  vision, is
• specifically geared toward industrial
  applications and automation, computer vision has
  a broader scope and aims to enable computers to
  understand and interpret visual information in
  general.