Personnel Detection and Warning Systems for Perimeter, Ambush, and Casualty Detection.

Each sound and odor has a distinct signature which when detected amidst high noise conditions can offer a superior level of protection and knowledge. Over the last six years, the Office of Naval Research (ONR) and DARPA have funded research at University of Southern California and Tufts University Medical School on advanced neural networking algorithms (Dynamic Synapse Neural Network - DSNN) to discriminate voice amid high noise environments; and on detection of buried landmines based upon their vapor phase chemical signature respectively. CogniScent and Safety Dynamics are commercializing the results of the research, and under this SBIR will focus on two major achievements. The first is to identify and design a smart detection around representative sounds and smells in a battlefield environment; and second, design a mobile, light weight, networked version of the "ears" and "nose" that can be carried into battle by soldiers.