@jbswindle: Cost/capability contiues to amaze me. A cheap NTSC color camera with little better than QVGA resolution sold in 1970 (Sony DXC-5000) for 30,000 inflation adjusted dollars. In a recent teardown report I noticed the HD color camera included with a particular cell phone was estimated at $5. Then there's processing cost: a cheap 16 bit minicomputer with no secondary storage and perhaps 8K of magnetic core RAM in 1970 cost about 21,000 inflation adjusted dollars. We've come a long way, baby. Exactly! When you can get a capable camera for $5 and a suitable processor for $10 (which you can do today, in high volume), you can start thinking about putting embedded vision into even very cost-sensitive products, like toys.
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.