Articles Tagged with ''Artificial Intelligence (AI)''

Artificial intelligence has landed on our doorstep and will change the complete environment of data collection, data analysis, and real-time action. Not only has AI landed, but it is also here to stay, and parts can be used immediately.

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.

Marposs Corporation has acquired the majority share of Digital Strategy Innovation (DSI), a start-up company and specialist in applied research in AI, big data and data analysis located in Venice, Italy.

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

According to MasterControl’s 2022 Digital Quality Maturity Study conducted by Cicero research, the majority of quality organizations are going digital, have plans to go digital within the next five years, or believe this is where they need to go to achieve compliance and remain competitive.

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.

The topic of Quality 4.0 is rapidly becoming a legend due to its mysterious nature; it seemingly has no formal description. Very few people can confidently say that they have seen it or used it. 

Manual or human manipulated NDT is still the primary means of performing Nondestructive Testing (NDT) in unique or one-off applications. Mechanical aids and/or computer assisted manipulation and scanning devices can reduce data gathering time on the site of the item being inspected.

Artificial intelligence and predictive modeling still require a human element: Especially staff to capture data, manage insights, deploy the software, guarantee production quality and more.