  We consider the problem of automatically (and robustly) isolating and
extracting information about waves and oscillations observed in EUV image
sequences of the solar corona with a view to near real-time application to data
from the Atmospheric Imaging Array (AIA) on the Solar Dynamics Observatory
(SDO). We find that a simple coherence / travel-time based approach detects and
provides a wealth of information on transverse and longitudinal wave phenomena
in the test sequences provided by the Transition Region and Coronal Explorer
(TRACE). The results of the search are "pruned" (based on diagnostic errors) to
minimize false-detections such that the remainder provides robust measurements
of waves in the solar corona, with the calculated propagation speed allowing
automated distinction between various wave modes. In this paper we discuss the
technique, present results on the TRACE test sequences, and describe how our
method can be used to automatically process the enormous flow of data
(~1Tb/day) that will be provided by SDO/AIA after launch in late 2008.
