TWIST IN THE TALE
Once a manufacturer has taken this course,
they are trapped. Any changes to the
conditions in the factory or to the product
being manufactured requires the integrator
to return to address the problem. In many
scenarios, it requires the entire process
to be repeated to design an entirely new
solution from scratch. The manufacturer is
held captive to the machine vision solution
installed. In fact, many manufacturers feel
they’ve turned out to be a ‘profit centre’
whose difficulties continually feed the
systems integrator with more and more
work – and more and more budget.
Because implementing a traditional
machine vision solution is so complex, it
would be impossible for the QA manager
or any other staff to complete the task
themselves. The manufacturer has never
had the choice but to accept the poisoned
apple or run the risk of defective products.
But this is about to change.
A HAPPY ENDING
Just like Snow White waited for Prince
Charming’s kiss, the market has long been
waiting for Autonomous Machine Vision.
Developments in image registration,
computer-vision, deep learning and other
artificial intelligence (AI) technologies have
enabled the development of Plug and
InspectTM technology required to power a
system that gives the QA manager complete
autonomy.
Autonomous Machine Vision provides the
QA manager with the freedom to install and
maintain his or her own systems, because
it is straightforward to set up and install.
Without any external help, the manufacturer
can install and run a system anywhere on the
production line and set it up within minutes.
What’s more, the system is self-setting
and self-learning, which means that when
changes are made to the production line, the
system self-adapts, so the entire process can
be managed in-house.
Because of Autonomous Machine Vision’s
affordability and immediacy, it opens up
the possibility of Total QA, where machine
vision systems are not limited to critical
points but can be installed at all stages of
the production line. Total QA allows the
manufacturer to identify defects as they
occur, preventing wasted time and resources.
Autonomous Machine Vision liberates
manufacturers from the poisoned apple
trap. Instead, manufacturers are free to
independently install, by themselves, visual
QA systems at all stages of the production
line to address defects early on-that’s a
happy ending if I’ve ever heard one. The spell
is lifted for QA managers, allowing them to
live happily ever after.
If you want to ensure you keep
up to date with the latest
news about Inspekto visit
www.inspekto.com/
Issue 35 PECM
133