You are here

Deeply Layered Data Fusion and Processing for Multi-Modal Sensing Platforms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-P-0023
Agency Tracking Number: FX192-SO1-0014
Amount: $48,535.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF193-CSO1
Solicitation Number: DoD SBIR X19.2
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-12
Award End Date (Contract End Date): 2020-12-12
Small Business Information
2800 Shirlington Road Suite 801
Arlington, VA 22206
United States
DUNS: 080912968
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Amit Mehra
 Managing Partner
 (202) 213-2846
Business Contact
 Amit Mehra
Phone: (202) 213-2846
Research Institution

As rapid and accurate analysis of ISR imagery and data continually grows to become a critical part of today’s Air Force and broader military missions, it is not sufficient to simply gather information from a single sensor, be it an optical camera, hyper / multispectral payload, thermal imager or LiDAR detector. Instead, layering-in multi-modal imagery and combining it with non-image based sources and sentiment analysis is critical for increasing the quality and fidelity of the intelligence ultimately being delivered for comprehensive CoA recommendations. NOVI proposes to address this need by applying its expertise in state-of-the-art neural net algorithms to combine edge-based multi-modal sensors with machine learning based data fusion and processing for unparalleled responsiveness and actionable intelligence. As part of the effort proposed herein, NOVI will work to identify problem sponsors suited for supporting a Phase II pilot trial, including identification of the necessary changes and enhancements needed to adapt its existing commercial algorithms to Air Force needs, and definition of a detailed program plan for implementation of such a pilot demonstration in a follow-on Phase II effort.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government