It looks like machine vision systems became even more popular last year. The North American machine vision market grew 14.4 percent to more than $1,517 million, according to the Quarterly Machine Vision Report from Vision Systems International (VSI). Nello Zuech, VSI's president, attributes a big chunk of that growth to application-specific "turnkey" systems, particularly those used in semiconductor manufacturing. "Capital spending in the semiconductor market grew about 20 percent last year, and machine vision sales into that market grew proportionally," Zuech says, adding that semiconductor manufacturing typically accounts for 20 to 25 percent of the total machine vision market. The market for configurable, general-purpose machine vision products grew by a smaller amount last year–by 4.6 percent to $331.7 million. Looking ahead to this year, Zuech expects that capital spending in semiconductor, automotive and other key industries won't be high enough to drive any additional machine vision growth in North America. "The market will most likely be flat in 2007, which isn't so bad given that 2006 was a really good year," he says.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.
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.