Check out the May 2022 edition of Quality, featuring how integrating real-time quality data is the future of manufacturing, a Vision & Sensors special edition and much more!
Competing on product quality has never been more urgent as rising raw material and component costs continue to squeeze manufacturers’ margins. At the same time, unpredictable supply chains make it increasingly difficult to maintain consistent product quality and cost visibility.
Proper fixturing addresses several key parts of quality: It ensures that inspected parts remain in a repeatable and reproducible orientation on a measuring device.
As technology continues to evolve, it will take a lot of work from the standards community to help the industry keep pace with news tools for new manufacturing methods.
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 scope of inspection is so vast that no one wanted to exclude a topic, but we also did not want a standard so detailed that it was not user friendly.
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."
Ain't Nothing Like the Real Thing is a song by Marvin Gaye and Tammi Terrell from 1968. The idea expressed in the song was so strong that it was not long until it was co-opted by commercialism.
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.