Award Data

The rapid detection of highly toxic compounds, such as chemical warfare agents, toxic industrial compounds, pharmaceutical-based agents, and non-traditional agents, is paramount to industrial and national security. While multiple chemical detection platforms exist, the ability to detect toxic compounds is fundamentally limited by the available reference database of known chemical signatures. Recen ...

With expanded connectivity, the spectrum of devices that are susceptible to cyber-attack is constantly increasing.Beyond this, given the increased processing power and capabilities of everyday IoT/embedded devices, cyber-attacks that previously only targeted endpoints (e.g., botnets, ransomware, DoS, DDoS, etc.) are now broadly applicable.Unfortunately, current cyber-threat detection solutions are ...

Air cargo security is critical to minimizing the overall risk to national security. However, screening air cargo with current state-of-the-art computed tomography (CT) imaging is a complex and challenging task for screeners. To address current complexities and challenges, Charles River Analytics proposes to design and demonstrate Supportive Intelligence and Fusion Technology to Ecologically Repres ...

Physical Sciences Inc. (PSI) proposes to develop an air cargo screening software suite that automatically parses air cargo waybills and detects and localizes the reported cargo contents within X-ray images obtained during screening. The software will utilize state-of-the-art machine-learning (ML) and natural language processing techniques to rapidly analyze and correlate manifests with associated ...

Transportation Safety Officers (TSOs) currently use a multi-step decision tree to screen and resolve an alarm of a suspicious object in crowded and high-throughput environments, such as aviation and security checkpoints. In high-throughput environments, this can lead to information overload and mental fatigue. Homeland Security desires a more capable integrated Alarm Resolution (AR) sensor suite, ...

To achieve the goals for the DHS SBIR topic “MCX Server-to-Server Communication, voice communications, 3GPP-Standards” (DHS231-005) to develop a unified process, strategy, and methodology to achieving interoperability of MCX server-to-server communications and to create a test tool for conformance and interoperability testing for MCX server-to-server communications, we will develop the ...

Detect and Identify Automated Labeler for Radar (DIALR)  Prime Solutions Group, Inc. (PSG) proposes Detect and Identify Automated Labeler for Radar (DIALR) for Research and Development (R&D) and demonstration of an algorithm framework for automated labeling of target classes in radar imagery. This provides a baseline for automatically labeling multiple target classes in Synthetic Aperture Radar ...

Commercial imaging satellites capture the majority of the planet’s surface every day, generating millions of images. Searching such data for specific objects of interest is extremely difficult to do manually without automated computer image analytics. NGA is seeking a novel scientific formalism and tools for training overhead image detectors on rare and new objects of interest, for which large, ...

Photonwares proposes to develop a novel large aperture and fast EO shutter capable of meeting the NGA requirements for laser-based remote sensing applications. The clear aperture can be up to 25mmx25mm while the transition time is shorter than 10ns and the repetition rate can reach over 1MHz with a high on/off contrast ratio. The design is based on our over 20 years of commercial expertise on Pock ...

This proposal addresses the algorithm research and development of structure and iterative discovery for image detection, identification, annotation, and understanding. Our approach is inspired from the ability of humans to encapsulate and develop mental models and the ability of AI to algorithmically learn and contribute to the identification of features, textures, and salient and camouflaged char ...