Sunday, October 14, 2012
A Practical Use for CV
How about a footrest to put under your desk at work that's smart. When you leave the desk, it retreats to the wall. When you approach, it only moves (to the right position) if you lift up both feet off the floor invitingly. You get the idea - it needs to be smart.
Wednesday, October 10, 2012
Extending Computer Vision
Thanks for visiting the Embedded Vision Academy and accessing resources provided by BDTI. We are interested in your experience in using these resources. If you answer a few questions for us, your name will be entered into a drawing to receive your choice of:
A copy of Gary Bradsky’s Learning OpenCV: Computer Vision with the OpenCV Library, signed by the author. (We will either send you a copy of the current edition now or you can opt to wait for the new edition.)
A Raspberry Pi development kit
We will draw four winners from among the names of those who respond to our questions by Tuesday, October 16.
To enter the drawing, please reply to this message and insert your answers to the following questions:
What resources did you download?
ubuntu Virtual Machine
What did you did you do? For example, if you downloaded the OpenCV QuickStart Kit, did you build the example applications? Or, did you use OpenCV to create your own?
No, I don't see a tutorial on how to do that - I did play some of the examples. I'm not a software guy, but I want to build CV apps
How did it go?
Playing the examples is easy. We need a presentation on a hello-world approach to building a new app - how to you build a motion detection app on your own - not use someone else's fully packaged app.
Do you have any suggestions for similar tools?
Hello world docs would be nice
What additional embedded vision resources would you like us to offer?
Take 5 of the most popular cameras, ranked for quality and cost and build a library for them - someone should be able to buy one of those 5 and then go to the website and get everything he needs to build an app. If it could be ported to Raspberry Pi, super.
A copy of Gary Bradsky’s Learning OpenCV: Computer Vision with the OpenCV Library, signed by the author. (We will either send you a copy of the current edition now or you can opt to wait for the new edition.)
A Raspberry Pi development kit
We will draw four winners from among the names of those who respond to our questions by Tuesday, October 16.
To enter the drawing, please reply to this message and insert your answers to the following questions:
What resources did you download?
ubuntu Virtual Machine
What did you did you do? For example, if you downloaded the OpenCV QuickStart Kit, did you build the example applications? Or, did you use OpenCV to create your own?
No, I don't see a tutorial on how to do that - I did play some of the examples. I'm not a software guy, but I want to build CV apps
How did it go?
Playing the examples is easy. We need a presentation on a hello-world approach to building a new app - how to you build a motion detection app on your own - not use someone else's fully packaged app.
Do you have any suggestions for similar tools?
Hello world docs would be nice
What additional embedded vision resources would you like us to offer?
Take 5 of the most popular cameras, ranked for quality and cost and build a library for them - someone should be able to buy one of those 5 and then go to the website and get everything he needs to build an app. If it could be ported to Raspberry Pi, super.
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