Online study aims to understand digitization trends for North American manufacturers – participate and get a free copy of the report.

User-friendly software tools that enable even users without experience to evaluate their applications with AI vision and implement them intuitively.

The topic of Quality 4.0 is rapidly becoming a legend due to its mysterious nature; it seemingly has no formal description. Very few people can confidently say that they have seen it or used it. 

As surface finish measurement increasingly moves to the point of manufacture, adding automation to the process helps maximize productivity and increases quality and machining efficiency.

A look into some of the latest trends in machine vision, in terms of both technologies and applications.

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.

As the pendulum swings from past decades of customized PLM to a far more flexible, highly-configured version, organizations need to borrow a page from modern software development and embrace automated testing as part of routine deployment.

Manufacturers often look at collaborative robots, or cobots, as an ideal way to enhance production efficiency, with human workers and automation working closely together.

One constant in the ever-evolving machine vision space is the need for high-quality, consistent lighting. New challenges in the design and specification of machine vision systems require an innovative approach to lighting selection.