(1) We will use the technologies of image processing and pattern recognition, such as image morphology segmentation, Support Vector Machines (SVMs), and neural networks to detect and characterize three important solar activities in real-time: filament eruptions, flares, and emerging flux regions (EFRs).

(2) We will combine state-of-art parallel computing techniques with phase diversity speckle imaging techniques, to yield near real-time diffraction limited images with a cadence of approximately 10 seconds.

(3) We will develop Web based software tools to post our processed data, events and forecasting in real time, and to be integrated with current solar activity and space weather prediction Web pages at Big Bear Solar Observatory (BBSO)