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?”
Before we address today’s testing trends, let’s look at the impact of the pandemic. The pandemic also created conditions that stressed manufacturers and caused major shifts in the way consumers purchase products, experts say.
There is no question that the COVID-19 pandemic dramatically impacted business practices across industry segments worldwide. Manufacturing was no exception and 2021 will be the year of reinvention through an emphasis on transforming business models.
A Growing Number of Manufacturers are Using Deep Learning Tools, a Subset of Artificial Intelligence, to Reduce Waste and Improve production. But, Experts Say, Some of it is Just Hype.
An increasing number of manufacturers are turning to deep learning, a subset of artificial intelligence (AI), to assist in image analysis processing, experts say.
Artificial intelligence, machine learning, and deep learning are interrelated concepts involved with computer-based learning from vast amounts of data – and then making predictions based on that information. This article will show how these technologies can provide good alternatives to traditional image processing, and how software works to make this happen.
“There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035,” predicted the techno-futurist philosopher Gray Scott. But the truth is more nuanced: automation will create as many opportunities for humans as it reduces. Here’s how manufacturers can greatly enhance their processes—and address the U.S.’s skills shortage.