When engineers think of computer-based measurements, voltage and current come to mind. Some tests, though, also involve moving and viewing a device under test. Think of positioning a cell phone to inspect its display during final test. Integrating motion and vision operations into a test system can challenge developers.
In theory, software drivers for servo motors and solid-state cameras should integrate easily into test development software. But if test software was written in language A, and drivers only exist for language B, developers may have difficulty adding motion and vision capabilities to an existing system. Back to the drawing board.
Although you can't anticipate every new need, vision and motion show up more and more frequently in test systems. So, before you settle on a test-development environment or language, investigate how well it can later accommodate vision and motion hardware and software.
Also, ensure that your test application can easily handle the data formats required by motion control and vision equipment. You shouldn't have to worry about swapping bytes or inverting bits to get vision software and motor control drivers working within a test application.
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.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.