For products in the consumer, parts, food & beverage, and print & packaging markets, a significant portion of the manufacturing process still relies on manual tasks performed by human operators.

There are numerous articles on the benefits of digitization for manufacturers, but less coverage on common mistakes and missteps to try and avoid.

Since the beginning of modern industrial robots in the early 1980s, robots have been guided by machine vision. Originally there were only a few robots with vision, but today it is over 5,000 robots annually in the North American market and significantly more globally.

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.

Low code platform streamlines design and deployment of AI and machine vision applications for automated quality inspection.

Digitize and automate manual processes and decisions to boost productivity and increase profits.

Digital transformation has become a buzzword for markets with high-value manufactured products and highly regulated industries. But what is it about digital transformation that draws attention? Is it only digitizing all paper-based processes, or are people hungry for more?

When it comes to inspection, humans do a pretty good job. We rely on our senses to detect differences, and if something changes, we’re adaptable and can make a quick decision on our own. We’re also easy to train and learn by example.

Pleora Technologies introduced new production-ready and customizable performance advances for its AI solution to help manufacturers improve frontline processes and collect inspection data for analytics.

User-friendly software tools that enable even users without experience to evaluate their applications with AI vision and implement them intuitively.