AI/ML Algorithm Development for Multi-Sensor Security Screening

This contract involves the development, training, validation, and testing of advanced machine learning algorithms designed to process data from multiple sensor types, including millimeter wave, RF, X-ray CT, and terahertz sensors. The primary application of these algorithms is real-time threat detection for passenger and baggage screening, aiming to enhance security measures by integrating data from diverse sensing technologies. The work is categorized under NAICS code 541715, which relates to research and development in the physical, engineering, and life sciences. Issued by the Department of Homeland Security's Science Technology Acquisition Division, this subcontract focuses on leveraging artificial intelligence and machine learning to improve screening processes for national security purposes. While specific details about location and points of contact are not provided, the contract highlights the importance of cutting-edge technological innovation in multi-sensor data analysis to advance threat identification capabilities in security environments.