Automated EO/IR Detection Techniques For Floating Objects Navy SBIR FY2006.2 Sol No.: Navy SBIR FY2006.2 Topic No.: N06-136 Topic Title: Automated EO/IR Detection Techniques For Floating Objects Proposal No.: N062-136-0535 Firm: eCortex, Inc. 3118 Galileo Ln Boulder, Colorado 80301-5463 Contact: David Jilk Phone: (720) 233-5455 Web Site: n/a Abstract: We propose to research the application of our novel object detection and classification approach to floating objects using EO/IR sensors. The approach is based on a biologically realistic neural network simulation of the mammalian visual system that has shown promising results in early tests. These results indicate that it will be able to supplement sonar-based systems to reduce false alerts as well as improve detection of mines and other hazards. Further, because the approach is fully trainable, it can be used flexibly in the field to defeat novel tactics. The research in Phase I will demonstrate the feasibility of this approach and provide a Phase II development approach and schedule. Benefits: In addition to a potentially significant contribution to the sensor suite on the DD(X) program and other current and future surface combatants, this technology will be generally applicable to surveillance and protection of any vulnerable waterborne or near-water assets, including cruise ships, supertankers, port facilities, and offshore oil platforms. Full coverage of these facilities with a large number of lower-cost EO and IR sensors cannot be cost-effectively manned without this enabling technology. Return