Effective speech analytic technologies and voice-based communications services are critical for public safety responders, especially when their hands are preoccupied during an active response or when background noises reach levels that can render most digital speech assistants inoperable.
Developed by the Department of Homeland Security (DHS) Science and Technology (S&T) Directorate Center of Excellence for Zoonotic and Animal Disease Defense at Texas A&M University, AgConnect® is a suite of data integration and analysis products designed to enhance situational awareness during infectious animal disease outbreaks.
The Visual Analytics Law Enforcement Toolkit (VALET) integrates large volumes of criminal, traffic and civil incident data into a single, interactive user interface to help law enforcement decision makers, analysts and officers identify crime trends and patterns, discover crime anomalies, and perform predictive crime analytics in order to assist in allocating law enforcement resources.
Developed by the Center for Visualization and Data Analytics, a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, VALET provides users with a visual display of multiple integrated crime datasets and a variety of crime analyses capabilities.
Researchers from the Center for Visual and Data Analytics (CVADA), a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, have worked with the United States Coast Guard (USCG) to develop the Coastal Operations Analysis Suite of Tools (COAST) that meets a broad set of USCG mission requirements. This suite of tools includes visualization, simulation, math modeling, and optimization techniques.
The Video Analytic Surveillance Transition (VAST) project uses advanced video analytics to solve key technical challenges in detecting and tracking potential risks in vulnerable venues. This project is focusing on identifying counter-flow within a defined area (in-the-exit) and tagging and tracking a person-of-interest moving through a defined space across multiple cameras (tag-and-track). The system must identify an individual within a single camera’s view as well as reidentify that same individual in each sequential camera’s view.
CVADA creates enduring technologies to analyze large quantities of information in support of real-time decision making across the homeland security enterprise.
CREATE’s mission is to improve the Nation’s security through the development of advanced models and tools for the evaluation of the risks, costs, and consequences of terrorism and to guide economically viable investments in homeland security.
CINA develops strategies and solutions to enhance criminal network analysis, forensics, and investigative processes for on-the-ground use by agents and officers to counteract transnational crime.
CAOE develops and applies advanced analytical tools and technologies to enhance planning and real-time decision-making in homeland security operations.
ALERT conducts transformational research, technology, and educational development to characterize, detect, mitigate, and respond to explosives-related threats facing the country and the world.