Providence: Ultralow Power ISR Sensors for Situational Awareness Monitoring

With the rise in global terrorism over the last decade, the nature of hostile threats has broadened, requiring increased visibility into critical systems and infrastructure. Despite the vital role that technology has played in enhancing the military"s ability to obtain intelligence to identify, track, and neutralize threats, the promise of automated collection and analysis of situational awareness parameters for actionable intelligence is yet unrealized. VigilNet, an integrated sensor network system developed at the University of Virginia specifically for energy efficient surveillance applications, has been used by military agencies for large-scale target detection and classification. In collaboration VigilNet developer Dr. John Stankovic of the University of Virginia, Luna"s proposed effort will use a comprehensive low power design approach, employing ultralow power hardware elements, ultralow power circuit design, and optimized firmware enabling significant power saving capabilities. Robust subsystems will support power efficient cognitive sensor analysis algorithms for threat detection, classification, and tracking, enhanced by computational and signal processing capabilities provided by modernized sensor hardware. A visual palette of service discovery and cognitive analysis modules based on the Ozone Widget Framework will enable user-friendly configuration for specific security applications and intuitive dashboard display for access to actionable intelligence.