Now assuming that the algorithms have been implemented properly, the

computer can interpret visual image representations.  One application of this

technology is quality control.  Imagine an assembly line producing widgets.

Once the widgets are assembled, it passes on a conveyer belt with a digital

camera directly above it.  As the widget passes by the camera on the conveyer

belt, the camera captures a picture of the widget.  It now takes this image it

just received and compares it to the image of what a proper widget would look

like.  If the computer sees any defects, bulges, dents, or irregularities in the

widget, it can immediately dismiss the widget as being defective.  It could also

make sure that the widgets are all of a proper size, width, or height.  The limits

are virtually non-ending.  Another application for this technology could be a

self-guidance system.  Imagine a camera attached to the front of a

self-operating cart.  This camera could continuously take pictures to determine

it’s current location, and the situation of objects around it.  It could steer clear

of any obstacles in its way and guide itself through a building.  Once finally

recognizing its final destination, the same way it recognized the proper

widgets, it could self dock itself and unload any cargo that may be in its

possession.