Homeland Sensors and Analytics

The nature of threats to the U.S. homeland is continually evolving, with increasingly sophisticated adversaries and criminal networks targeting our critical infrastructure, land and maritime borders, transportation systems, and public places. Our group develops technologies that use advanced sensors, data analytics, and integrated human-machine decision making to help recognize and disrupt these threats. We specialize in collecting and processing a wide range of data types — including radar, video, imagery, text, point cloud, transactional, and body-worn sensor data — from both commercial and Laboratory-developed sensors. We often apply advanced machine learning methods to convert raw data into actionable insights about the behavior of threat actors and those who intervene to stop them. To help generate requirements for and evaluate our sensing and machine learning technologies, we use systems analysis methods that consider the operators and their environment as part of the system. Our ultimate goal is to field solutions that significantly enhance the decision-making process of analysts and operators who secure the homeland.