Pleora’s AI expertise helps manufacturers ensure quality, lower costs, and protect their brand. Pleora’s AI solutions are designed into consumer goods, food & beverage, print & packaging and parts manufacturing applications.

“I want the best of both worlds.” Sammy Hagar likely wasn’t singing about machine vision and AI while fronting Van Halen, but it’s a hot topic for manufacturers.

As system designers and integrators navigate through Industry 4.0, Internet of Things (IoT), and artificial intelligence (AI), it is clear that they must balance the best solution for the problem and plan for integration with existing infrastructure and processes.

You can’t accuse Volkswagen’s Dirk Voigt of having his head in the clouds—he’ll take it as a compliment. The head of digital production at VW, Voigt and a team of manufacturing and IT pros are developing an industrial cloud computing system to amalgamate production data from more than 120 factories. The objective: greater efficiency and lower costs.

Automotive OEMs love to show off their automated body-in-white assembly lines. Commercials invariably feature dozens of six-axis robots producing showers of sparks in choreographed routines. 

BMW has been at the forefront of Industry 4.0 for years. For example, the company was an early adopter of additive manufacturing, and today prints hundreds of thousands of production parts annually. 

Like many long-established car manufacturers, the company that would become Škoda Auto started in the early 1890s by making bicycles. Today, you won’t see velocipedes rolling off of Škoda assembly lines, but you just might see plug-in electric vehicles.

DETROIT— UVeye, a provider of advanced vehicle diagnostic systems, has received an investment from the capital venture arm of General Motors, GM Ventures, to help fund the development and commercialization of the company’s vehicle inspection technology. 

WASHINGTON—The U.S. Food & Drug Administration, Health Canada and the United Kingdom’s Medicines and Healthcare products Regulatory Agency have jointly identified 10 guiding principles that can help manufacturers build safe, effective and high-quality medical devices that enable artificial intelligence and machine learning.