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The Pi really isn't up to the task when using simplecv to do any sort of image processing. In my experience, it takes about 10 seconds to processing a simple grabbed image, which is way too slow in any industry environment.

As for the ps3 eye, you can check elinux.org and see that images corrupt.

as for testing purposes, to see if /dev/video0 is enough, did you do a 'hello world' cam code?

from SimpleCV import Camera, Display
import time

    cam = Camera()
    disp = Display()
    while disp.isNotDone():
        img = cam.getImage()
        img.save(disp)
        time.sleep(0.5)

I think you may need to look toward something like a beagleboard to use vision in a portable application.

The Pi really isn't up to the task when using simplecv to do any sort of image processing. In my experience, it takes about 10 seconds to processing a simple grabbed image, which is way too slow in any industry environment.

As for the ps3 eye, you can check elinux.org and see that images corrupt.

as for testing purposes, to see if /dev/video0 is enough, did you do a 'hello world' cam code?

from SimpleCV import Camera, Display
import time

    cam = Camera()
    disp = Display()
    while disp.isNotDone():
        img = cam.getImage()
        img.save(disp)
        time.sleep(0.5)

I think you may need to look toward something like a beagleboard to use vision in a portable application.

Also scale down the image before processing, and lower the resolution of the camera. Compiling your python code to a pyc file can also boost performance.