Progress in machine vision processing is charted in major developments that prove significant staying power.

A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.

Machine vision lighting is a broad topic but a short article can be useful because some core concepts are not widely known. We’ll start with three core statements.

We review the “state of the market” and discuss some established technologies that are maturing to provide value to more end users, as well as some “cutting-edge” technologies that may bear watching.

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.

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.

Product packaging - in an extremely broad range of markets from food to pharma - frequently incorporates an extremely important sealing technology called “tamper evident” seals. 

Deep learning has become a useful tool in the integration and implementation of machine vision systems in the automation environment.

For the past few decades, consumers have rewarded companies that customize their products and services to individual tastes and needs.