Award Data

TECHNICAL ABSTRACT: CFDRC proposes the creation of an innovative location-based threat tracking and notification system to allow users to receive hazardous weather messages from the NWS with their call to action, allow users to receive custom-tailored messages about threats, and visualize relevant weather information within their area. The focus is on a tool that allows this information to be comm ...

ABOM has developed a novel active anti-fog technology platform that has solved the problem of eyewear fogging. These fog-free and ballistics-rated polycarbonate lenses provide the individual soldier with sustained distant visual acuity and improved situational awareness. Under this proposed SBIR Phase I project, ABOM will perform evaluation and feasibility studies for four proposed Military Combat ...

The proposed Group 2 UAS is a long endurance fixed wing aircraft, a secure communications system and a portable ground station. The light weight aircraft features a high aspect ratio wing and is powered by an electric ducted fan for maximum efficiency. The modular aircraft system is one man portable and designed to be packed out on a molle backpack configuration. The conceptual airframe design ...

Historically, biometric collection systems have been designed for fixed Law Enforcement office applications. Their limitations stem from the fact that they were designed for specific hardware collection sensors optimized for a specific application. To a large extent the software is proprietary to a single vendor’s sensor suite and not designed to accept international character sets. Current p ...

There is an acute need for a networked chemical sensor that is inexpensive enough to allow it to be treated as a disposable item - deployed and left in-place until the end of its useful life, or until operations move out of communications range. Electrochemical microarray sensors can be fabricated at low enough unit cost to make the development of a disposable sensor node feasible. These sensors ...

Our solution to the automated feature extraction problem will leverage the material properties that can be inferred from combining multispectral imagery with high resolution elevation data or LIDAR data using a trainable knowledge base. Multiple imaging bands provide a more complete picture of the material involved than ordinary RGB. This can help distinguish between a green grass lawn and a gre ...