Award Data

In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

The objective of this feasibility study is to assess the concept of using LiDAR to detect, track, and identify sUAS threats assisted by Artificial Intelligence (AI) agents. Inherent in this objective is concept development and feasibility assessment of Machine Learning (ML) and AI algorithms for creation and use of LiDAR target profiles for sUAS surveillance and identification. This objective will ...

Special Operations Command is responsible for many of our nation's most critical, no-fail missions, yet the rapid rise of Unmanned Aerial Systems (UAS) is forcing rapid adaptation in the ways these forces can detect, track, and characterize these threats. Our vision is to explore the art of the possible, pairing portable commercial LiDAR sensors with Computer Vision and Deep Learning algorithms to ...

Frequency-modulated continuous wave (FMCW) lidar is the optimal solution for cost-appropriate ground-based imaging and discrimination of small UAS at the 3 km range. In this effort Polaris will first design and assess various FMCW lidar system configurations for SOCOM’s use case. Second, Polaris will employ an innovative approach to machine learning (ML) in which innovative techniques which offe ...

Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

To address the USSOCOM need for a transparent in-vehicle display screen, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Transparent Armor Nanostructure Display (TAND) system to enhance crew situational awareness, reduce cognitive workload, and eliminate in-vehicle stand-alone displays. This compact transparent armor (TA) display system is based on the unique combination of a f ...

The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...

This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

To address the Chemical and Biological Defense (CBD) agency’s need for a new deep learning (DL)-based threat detection solution that fuses imaging sensors and chemical/biological sensors to detect and locate concealed chemical threats, Intellisense Systems, Inc. (Intellisense) proposes development of a new Chemical-Imaging Registration and Multimodal Analysis (CIGMA) solution. CIGMA will compris ...

The recent COVID-19 world pandemic demonstrates most effectively the urgent need for near real-time detection of ambient airborne pathogens. It has been demonstrated that electrospray ionization, utilized in many mass spectrometers today, has the unique ability to capture bioaerosols non-destructively out of the air for subsequent interrogation. This proposal leverages on this electrospray capture ...