In a move aimed to simplify setup of complex systems, Sony Electronics and National Instruments teamed up to link the Sony XCI-SX1 Smart Camera and NI Vision Builder for Automated Inspection (AI) software, letting engineers configure, benchmark and deploy complete machine vision applications without any programming.
“Using a combination of tools from Sony and National Instruments gives engineers a better solution for identifying objects, inspecting packaging and verifying assembly,” said Ken LaMarca, general manager for visual imaging products at Sony.
The Sony XCI-SX1 Smart Camera integrates what used to require a PC, image acquisition board and charge-coupled device (CCD) into its camera. Teamed with NI Vision Builder AI software, it gives system integrators and end users the ability to create high-performance systems that address specific needs across a broad spectrum of industries and applications. The camera uses Sony’s 1/2-inch SXGA Progressive Scan B&W CCD, and operates at 15 fps at SXGA resolution and 34 fps at VGA.
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.