Vehware Project: Difference between revisions

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After the problem is analyzed well, we consider possible solutions which on the side of hardware and software.
After the problem is analyzed well, we consider possible solutions which on the side of hardware and software.


Software solutions:
'''Software solutions:'''


Hardware solutions: which hardware does fit best for possible solutions ? A camera with image processing or kinect like motion trackers ? can raspbery pi 2 or similar handle these software solutions?
'''Hardware solutions:''' which hardware does fit best for possible solutions ? A camera with image processing or kinect like motion trackers ? can raspbery pi 2 or similar handle these software solutions?

Revision as of 01:18, 14 September 2015

"Single camera detecting person via OpenCV -   Senior Project for a dual diploma team that would put together a "motion detection" mostly "person motion detection" from a video stream. The goal would be to alert a truck driver when he is backing up that a person is behind the truck. I checked out OpenCV as the basis for this capability using python. OpenCV comes with a body detector and we have used it in some of our work, so adapting it to a student project should be reasonable. The challenge is to get representative and realistic data so that you can define and then estimate an error metric"


Problem analysis:

In this section, we need to investigate and understand the issue deeply. We may be able to answer the questions what is the issue ? what does causes this issue ?

Posible solutions:

After the problem is analyzed well, we consider possible solutions which on the side of hardware and software.

Software solutions:

Hardware solutions: which hardware does fit best for possible solutions ? A camera with image processing or kinect like motion trackers ? can raspbery pi 2 or similar handle these software solutions?