Award Data

Navy ships have many cameras for situational awareness, but they produce more video than humans can effectively review, and the gap is widening. Currently, all video is recorded, but the sparse relevant data (e.g., showing interesting targets or conditions) is practically impossible to find among the rest. This lost data compromises decision-making and delays machine learning and autonomy efforts. ...

Military training often occurs in high temperature environments, with Warfighters having to bear heavy loads over lengthy time periods, and while wearing extensive gear (e.g., full uniforms, body armor, helmets, rucksacks) that can impose significant heat strain. Although the Heat Illness Prevention System (HIPS) has been successful with early detection of and intervention for excessive heat strai ...

The goal of this SBIR is to develop a Heat Injury Prevention System (HIPS) kit that provides technologies for real-time monitoring to prevent exertional heat illness in a training environment, at scale, for active-duty service members – specifically for Marine Corps and Army personnel. The proposed work for Phase I would involve the development of a prototype HIPS kit that can be used to test, c ...

Physical Sciences Inc. (PSI) proposes to develop a high-efficiency metasurface-based free-space orbital angular momentum transformer that can be fiber pigtailed at both the inputs and output to operate across the shortwave infrared band from 1 to 2 microns. The transformer will be designed to simultaneously minimize losses and maximize environmental stability.

As the Navy seeks to deploy neural networks for perception and control capabilities in autonomous systems, they must ensure networks behave predictably and reliably. Researchers have responded to this need by producing a proliferation of methods for formally verifying properties of neural networks. However, applying these methods is a challenge, as methods vary in their applicability to different ...

The amount of data being collected by sensors and cameras has allowed for an explosion in the use of Artificial Intelligence and Machine Learning (AI/ML) to analyze and synthesize useful knowledge from streams of image data. These systems often act as black boxes to observers with little insight into how they function and little knowledge of how trustworthy their predictions and identification. Cu ...

Electronic Warfare (EW) is a critical component in conflicts around the globe. High Power Microwave applications need greater power and efficiency and wider bandwidth. Solid state technology is very capable and increased power by combining many devices improves overall performance. Diversified Technologies, Inc. (DTI) proposes to develop a wideband solid state power amplifier combining topology wh ...

Radio frequency (RF) systems are a key enabler of multi-domain mesh networked capabilities in the battlefield of the 21st century. As attritable and expendable unmanned platforms become more common, cost is becoming a larger constraining factor in system specifications. Current high-performance RF systems such as phased arrays meet mission requirements but are costly and consume significant power. ...

Latent heat loads, associated with the condensation of water vapor in outside air, impose up to 40% added cooling demand on naval vessel air conditioning systems, which in turn significantly increases the power consumption of the system.  This Technical Proposal is to develop and verify a novel means of reducing the latent loads to significantly reduce the power consumption of ship-based air cond ...

The Navy seeks to develop compact and energy efficient technologies to reduce the latent loads of outside air entering the ship during the summer while providing heat during the winter. This is similar to needs in building technology that are often addressed by using rotary desiccant wheels for dehumidification and by enthalpy wheels for preheating fresh makeup air in the winter. Removing water va ...