Articles Tagged with ''machine vision''

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.

Seasoned technology veteran brings over 30 years of experience to the position.

In the machine vision marketplace the term “AI” typically refers to deep learning platforms that enable industrial automation and inspection. To appreciate the value proposition of AI in this context, it’s helpful to understand how the technology has evolved over the past several decades.

It is crucial to hit the right color tone in the production process and to produce it homogeneously across numerous batches. Color not only leaves an impression of quality, but can also be used as an indirect variable to control the process.

How you can identify opportunities for AI in your machine vision applications.

Machine vision system developers must consider data bandwidth, cable length, and other factors when choosing a camera interface.

Mitutoyo America Corporation announced the release of the Quick Vision Pro Series, the latest generation of Mitutoyo Vision Measurement Systems.

Robots are being added in locations that add value so companies can use human employees in higher value areas and tasks still beyond the scope of machines.

It is beneficial to look to the experience of industry experts who have already taken many steps to provide a combination of AI and computer vision solutions.