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Machine vision enables new and exciting advancements in industries and fields of research across multiple disciplines. 

Deep learning is now more user-friendly and practical than ever and together with other vision technologies opens up new application areas, making the inclusion of vision inspection as part of Industry 4.0 even more beneficial.  

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.

In this article, deep learning refers to developments during the last few years that have enabled applying the technique to entire images in the industrial machine vision space.

Measurement and inspection standards are traditionally updated on a regular schedule. However, the form measurement standard for out of roundness, B89.3.1, has not been updated since its initial release in 1972, and is no longer an active standard available through ANSI.

The journey to create a standard is very interesting and requires attention to detail. Before a standard can be created one must develop the need and benefits for its development.

“Measurement uncertainty is the expression of the statistical dispersion of the values attributed to a measured quantity. All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty, such as the stand deviation."

Indicators have evolved and many different types have been introduced such that there now exists a whole world of indicators.

A standard is a document established by consensus and approved by a recognized bodythat provides – for common and repeated use – rules, guidelines or characteristics for activities or their results, aimed at the achievement of the optimum degree of order in a given context.

In an age defined by technological innovations, creativity is prized more than ever. However, where does creativity originate?