That's a valid question. There's more than one way to create 3D in machine vision. Chuck's upcoming February feature, already out in the print edition of DN, discusses this subject. The simplest, easiest, cheapest method is by using two 2D cameras in stereo, as does this QuantumVision product. This roughly emulates the stereoscopic vision of humans (and other primates), in that both of our eyes used together creates 3D stereo images. Others use more complex math and/or special image sensors, and/or special image processing.
Basically, this is smaller than other stereo 3D cameras, and it's way smaller than other 2-camera 3D stereo cameras. Since it's a stereo 3D system, it's created with two 2D cameras, so there's really no new paradigm in that sense; you are still processing 2D data. You can process that data faster if you use the cameras independently. Another thing about this system is its rugged enclosure, which is why it's shown with water drops.
Ann, what's the use case for this type of system compared with a traditional 2D vision system or any of the stereo 3D systems? Am I saving money by going this route or is it purely a matter of increasing visibility without having to move to a totally new 3D paradigm?
Enabling the Future is designing prosthetic appendages modeled more like superhero arms and hands than your average static artificial limbs. And they’re doing it through a website and grassroots movement inspired by two men’s design and creation in 2012 of a metal prosthetic for a child in South Africa.
In order to keep an enterprise truly safe from hackers, cyber security has to go all the way down to the device level. Icon Labs is making the point that security has to be built into device components.
Three days after NASA's MAVEN probe reached Mars, India's Mangalyaan probe went into orbit around the red planet. India's first interplanetary mission, and the first successful Mars probe launched by an Asian nation, has a total project cost of nearly $600 million less than MAVEN's.
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