Proper lighting design is essential to assure a successful machine vision project. Ignoring this is one of the most common causes of machine vision project failures.
Machine vision lighting is a broad topic but a short article can be useful because some core concepts are not widely known. We’ll start with three core statements.
We review the “state of the market” and discuss some established technologies that are maturing to provide value to more end users, as well as some “cutting-edge” technologies that may bear watching.
Over machine vision's long history in industrial automation, the emergence and development of standards has been one of the key drivers in advancing this technology.
In this article, we review key standards that currently exist and provide an overview on recent updates and potential changes that will impact and benefit users of machine vision technologies. We also look at the work of various organizations to understand how their standards may impact the machine vision market.
Computational imaging technology has found its way into industrial automated inspection, where the creative use of illumination components has emerged as an enabling technology providing valuable imaging capabilities.
The phenomenal rise of collaborative automation systems over the past decade or so has seen collaborative technologies deployed on a growing number of quality control applications. Collaborative automation enables companies of all sizes to improve throughput and reduce cycle times on inspection tasks.
Manufacturers are now embracing the move to the digitization of their production processes. Many initial project goals are very narrowly focused around removing manpower, manual errors, and running 24/7 to improve total output. These are all worthy goals for sure. Yet, this approach leaves many facets in their overall process often overlooked. There are critical questions that must be asked.