It makes sense that medical would be a great growth area for this technology, given the fact that handling is an issue for many medical parts. With cost coming down and electronic performance rising, though, it's natural that it would find new applications in a variety of other industries, such as aerospace and defense.
Yes, machine vision is extremely rugged hardware compared to even consumer equipment, which is one of several reasons it's always been a lot more expensive. That's started to change recently with the use of more open platforms, but it's still got to be highly durable.
I visited a production line yesterday at a plant that does a lot of precision assembly using adhesives and laminates, and machine vision is utilized heavily to ensure quality (check tolerances, etc.) I was particularly struck by how robust the MV equipment has to be to handle the production rate, temp, vibration, etc. A tall order for such precision equipment.
Interesting that technology that started out in medical equipment and made its way to manufacturing is now being tapped to improve the quality of manufacturing that equipment. Another great example of how technology travels full circle. Given the amount of imaging that's utilized in medical equipment, it stands to reason there's much more opportunity to apply machine vision equipment for garnering efficiencies and working out quality kinks on the production floor.
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.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.
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.