Greater Scalability to Increase Adoption of Machine Vision
Systems Beyond the Manufacturing Industry
Released on = November 14, 2005, 7:03 am
Press Release Author = Vishnu Sivadevan
Industry = Semiconductors
Press Release Summary = Manufacturers of machine vision systems are finding it
extremely challenging to keep pace with developments in the semiconductor industry.
Miniaturization of components is creating the need for higher throughput vision
systems that afford superior accuracy levels.
Press Release Body = Palo Alto, Calif. — November 14, 2005 — Manufacturers of
machine vision systems are finding it extremely challenging to keep pace with
developments in the semiconductor industry. Miniaturization of components is
creating the need for higher throughput vision systems that afford superior accuracy
High-performance image sensors in cameras, suitable illumination wavelengths, high
processing power and efficient processing software are going to be crucial if
machine vision systems are to keep up with the rising automation standards.
“Commensurate advancements in lighting and illumination, lasers, lighting,
processors, sensors and optics have to complement machine vision systems,”
reiterates Frost & Sullivan Research Analyst Vishnu Sivadevan. “Developers face the
challenge of reducing set-up time and also incorporating greater enhanced
functionality, scalability and upgradeability.”
It is important to pay special attention to issues surrounding the expenditure and
time on for set-up time and installation. User-friendly features, robust integration
capabilities and reduction of operator training time can drive investments in
machine vision systems.
“End-users are demanding quick return on investment and are attempting to make a
futuristic investment in machine vision systems, choosing judiciously from a range
of products, which differ in cost and functionality,” explains Sivadevan.
Advanced automation standards also require machine vision systems that are flexible
and scalable across multiple products and production lines. This has given rise to
compact vision systems and smart cameras that have a built in image sensors and
processors and are also more user friendly.
While smart cameras are replacing PC-based vision systems, the choice of
architecture would depend upon the application the vision system is catering to.
“In many cases a healthy marketing system becomes necessary, by which the end-user
is made aware of the future prospects for expansion or upgrades of the machine
vision system,” says Sivadevan.
Once vision systems are projected as being versatile and easily upgradeable, the
range of applications is likely to expand beyond industries and production
High-end machine vision applications are progressing from two-dimensional to
three-dimensional imaging with techniques such as laser triangulation and
For instance, Canesta Inc., manufacturers of 3D chip-based vision systems, claims
that their machine vision systems have cost-effective alternatives to weight sensors
and stereovision techniques in automotive applications.
Currently, researchers are also working toward the development of real-time
autonomous robotic guidance using machine vision systems. Artificial intelligence
technique is another emerging area for enhancing the performance of these systems.
Advances in Machine Vision Systems is part of the D944 subscription and analyzes the
latest trends and advances in next-generation machine vision systems. The study
focuses on the latest technologies and the trends driving the development of vision
systems across a range of applications. Executive summaries and analyst interviews
are available to the press.
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Keywords in this release: machine vision systems, semiconductor industry, lighting
and illumination, lasers, lighting, processors, sensors, optics, automation
standards, smart cameras, PC-based vision systems, three-dimensional imaging, laser
triangulation, stereovision, Artificial intelligence, autonomous robotic guidance,
Web Site = http://
Contact Details = Tori Foster
Frost & Sullivan
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