Abstract:
In today industry, manufacturing become big and
serial as it never been before thanks to the autonomy robots.
Hitches on such autonomy systems used in industrial production
may cause production delaying. In this study, it is aimed to obtain
alive bird's eye view map of full system in order to monitor
manufacturing robots at production facilities that are big and
impossible to be monitored with only one camera. Finding the
similar scenes of input images, estimation of homography,
warping and blending operations are applied respectively in order
to mosaic the images by twos. Thus the robots in the facility can
be observed in one screen. With observation of the obtained
images, faults on cyber-physical systems that may cause damage
in machines which are not cheap can be handled beforetime.
