Machine Learning for Defense Applications

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: 140D04-19-C-0027
Agency Tracking Number: F183-002-1055
Amount: $74,922.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF183-002
Solicitation Number: 2018.3
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-01-31
Award End Date (Contract End Date): 2020-01-31
Small Business Information
200 Westside Square, Huntsville, AL, 35801
DUNS: 129074840
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 John Harchanko
 (256) 562-0087
 John.Harchanko@PolarisSensor.com
Business Contact
 Michele Banish
Phone: (256) 562-0087
Email: Michele.Banish@PolarisSensor.com
Research Institution
N/A
Abstract
Polaris Sensor Technologies, Inc., presents a program plan (focused on the Phase 1 effort) to address the penultimate goal of coloring the good guys blue and the bad guys red using multi-mode aerial imagery of ground targets in the visible and thermal IR coupled with the most advanced Continuous Machine Learning (CML) approaches, techniques, and architectures. CML has many computational and operational advantages that allow it to address future challenges. By coupling CML with multi-mode, multi-waveband imagery, Polaris offers a unique approach to advance warfighter capability by reducing crew workload by taking advantage of existing sensor capability.

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

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