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.
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.
In all types of industries, machine learning (ML) tools are finding the needle in the haystack of data, augmenting quality and safety professionals with a new kind of intelligence that can unlock hidden data patterns that are impossible for the human mind or eye to absorb.
There is a lot of attention given to the growth of automation, specifically to robotics and artificial intelligence (AI), and its potential impact on the economy and the work force, current and future.
Autonomous machine vision inspection provides quick, automated defect recognition and can implement the knowledge it gains, thereby decreasing false alarms and erroneous scrap.
Manufacturers and brand owners are under tremendous pressure to ensure premium end-to-end product quality, especially as consumers increasingly demand perfection. And a great deal of that product quality pressure still falls on human visual inspection.
While artificial intelligence (AI) is gaining favor as a solution to quality problems, it brings a number of new, sometimes confusing, terms. As a first step, many manufacturers ask “What is AI?”