An automated multiviewing ultrasonic transducer and a first generation signal processing program have been developed for the purpose of detecting and characterizing flaws in materials. The multiviewing transducer has been designed and developed to exploit advances in theoretical inverse elastic wave scattering in the long and intermediate wavelength regime made in recent years. The signal processing algorithm has been assembled as a first step in the development of a decision-tree algorithm for flaw characterization. First results that have been obtained in a completely automatic mode are given in this paper. It is concluded that this new long and intermediate wavelength, model-based reconstruction is feasible and potentially very useful in quantitative NDE applications on real systems.