Opto 22 Develops Tool to Build Mobile Automation, Monitoring & Control Interfaces
How an application built using Opto 22’s Groov tool might look on an iPhone. The automation vendor plans to release the tool for building and deploying web-based automation, monitoring, and control interfaces for mobile devices regardless of OS in April. The interfaces are meant to be complementary to human machine interfaces (HMIs) from Opto 22’s SNAP PAC control system. (Source: Opto 22)
As automation systems become more interconnected, mobile devices will play an even larger role in the information chain. This tool should help engineers develop interfaces for a range of smartphones and other mobile devices that look more contemporary and provide them with information from automation systems in an easy-to-read way.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.