Mistaken identity

Next week marks the start of one of the biggest event in Vision Systems Design's calendar -- the VISION 2011 show in Stuttgart Germany.

Accompanying me to the show this year will be Susan Smith, our publisher; Judy Leger, our national sales manager; and the latest addition to our editorial team, Dave Wilson.

As many of you may know, Dave joined the magazine just last month to increase our presence in the important European market. But what some of you may not know that Dave is also my identical twin brother, a fact I thought I'd make perfectly clear before the show begins, in order to diminish the confusion that will inevitably arise as a case of mistaken identity on the show floor.

You see, although numerous vision system algorithms have been developed over the years to differentiate between products of a similar nature, I'm sorry to say that most human beings' visual systems -- even those in the machine vision industry -- seem to be incapable of differentiating between the two of us, despite the fact that I clearly inherited all the brains and good looks.

For that reason, I have programmed my brother's central processing unit to respond to the greeting "Hi, Andy" whenever he hears it, after which he will instigate a verbal subroutine, which will explain that he is simply a poor imitation of the real thing.

However, if you do run into the man instead of me, you will find that he is equally as willing to learn what new technologies are being discussed at the show.

He would be especially delighted to discuss any applications of machine vision related to the use of smart cameras and hyperspectral imaging. Please be sure to bend the man's ear if you see him!

BigShot could be a big deal for machine vision

Simpler cameras with embedded intelligence sounds like a good idea. In fact many vendors of smart cameras for machine vision are already heading in this direction, adding FPGAs, DSPs, and CPUs to their products so that their customers can build ever-more sophisticated systems without some of the software development needed for custom applications.

But wait! It seems that a group of 10-year-old kids is working on the same idea. Actually, it’s not quite the same idea since the kids are performing this task using a simple camera kit called BigShot (http://www.bigshotcamera.org/). The creator of BigShot is Shree Nayar, chairman of Columbia University’s computer-science department and director of the Computer Vision Laboratory.

BigShot is a build-it-yourself camera. It comes in a kit with less than 20 parts that snap and screw together simply. When it’s finished, users can peer through the transparent back and, with the help of labels preprinted on the plastic, show curious friends how the camera works. The labels point out the microprocessor, the memory chip, and other features that let this homemade device digitally capture, store, and reproduce images.



BigShot takes normal, panoramic, and even three-dimensional pictures. But the real point of the camera isn’t the photos. It’s to use the camera as an excuse to expose the kids to as many science and engineering concepts as possible.

Nayar worked with a group of contractors to flesh out his initial design and build the first set of working prototypes. He also worked with a group of undergraduate and graduate students at Columbia to develop the online educational materials, design the Bigshot website, and conduct the field tests.

So far there have been test sites in New York City, Bengaluru, India, and Vung Tao, Vietnam, where, the camera has served as a means for children of very different social and economic backgrounds to communicate and express themselves.

What can vendors and integrators of machine-vision products learn from such an undertaking? One lesson, perhaps, is that it is critical to educate young people in science and engineering and encourage some to follow these career paths.

Another is that simplicity and transparency help make technology a more useful tool--whether in education, manufacturing, security, biomedical research, or human relations.

In ways we may not yet recognize, the future success of such machine vision and image processing applications is already being secured by the interest, enthusiasm, and energy of 10-year olds fiddling with do-it-yourself cameras.