supply chain management, logistics coordination, target identifications and simulation
The purpose of this topic is to demonstrate the ability to interface to a modern Software Defined Radio (SDR) and the Photon digital signal processing framework in order to characterize large swaths of the RF spectrum in near-real-time (NRT) using AI/ML techniques for signal modulation recognition and sorting (Blue Force emitters; Red Force emitters; Civilian emitters);
US Army requires large-scale, accurate and easily accessible training, test, and validation data to support AI model development for multiple security domains (e.g. SIPR, JWICS…).
Sensor Synthetic Data Generation Read More »
It is projected in the future fight, the speed of battle will be imperative and every munition employed must be effective.
Datalink-Enabled AI for Fires Optimization Read More »
The Army demilitarizes non-usable ammunition in the rotary kiln incinerator (RKI) and tries to recycle the scrap through commercial dealers.
Artificial Intelligence-in Automated Scrap Inspection “MVM” Read More »
Develop and demonstrate Machine Learning based radar algorithms/techniques to improve Point of Origin (POO) Target Location Accuracy (TLA) in Counter-fire Target Acquisition (CTA) applications for semi-ballistic trajectories.
CTA Track/Discrim Improvements for Advanced Threats Read More »
Develop and demonstrate a material solution to provide adaptive, scalable, cost effective training and testing to improve the Command, Control, Communication, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) system operations for the Army’s Signal Soldiers.
Immersive Gaming of C5ISR Training and Testing Read More »
Design and develop a technology approach/solution to create and provide realistic multi-spectral (i.e. infrared (IR), radar, Identification of Friend/Foe (IFF), electro-magnetic (EM), etc.) and other visual Combat Identification signatures in support of the live fire training domain.
Multi-Spectrum Combat Identification Target Silhouette (MCITS) Read More »
Research methodologies, frameworks, and processes to ingest, process, and correlate object detections and tracks from multiple imaging sensors including but not limited to ground, aerial, and overhead imagery and video.
Correlation of Detected Objects from Multiple Sensor Platforms Read More »
Resolve biometric data issues in the current authoritative biometrics database, the Department of Defense’s Automated Biometric Identification System (DoD ABIS), through the development of a machine learning software application to identify errors and improve data quality, increasing speed and accuracy of responses to match requests.
Biometric Data Cleansing Read More »
Design and build a biometric recognition camera system to be integrated with the pre-existing Automated Installation Entry (AIE) system for deployment at Army installation Access Control Points (ACPs).
Recognition Biometric Camera System Read More »
