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Automatic Deep Learning-based Target Identification with Semantic Reasoner for Autonomous Collaborative Weapons

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8656-21-C-0042
Agency Tracking Number: F203-001-0084
Amount: $49,996.62
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF203-001
Solicitation Number: 20.3
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-12-23
Award End Date (Contract End Date): 2021-03-23
Small Business Information
1845 West 205th Street
Torrance, CA 90501-1510
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Armen Gholian
 (310) 320-3088
 isproposals@poc.com
Business Contact
 Keith Baker
Phone: (310) 320-3088
Email: contracts@poc.com
Research Institution
N/A
Abstract

To address the Air Force’s need for target identification schemas for autonomous collaborative weapons systems, Physical Optics Corporation (POC) proposes to develop a new Automatic Deep Learning-based Target Identification with a Semantic Reasoner for Autonomous Collaborative Weapons (ATRACE) software suite that enables each weapon in a collaborative weapons team to detect and identify targets. It is based on a new design that leverages POC’s existing technologies. Specifically, the innovation in semantic reasoning, deep learning-based target detection and identification, and real-time reduction of high?dimensional data streams into abstracted information using low?size, weight, and power (SWaP) hardware will enable the ATRACE software to accurately detect and identify targets for collaborative weapons systems. In Phase I, POC will demonstrate the feasibility of ATRACE by developing a proof-of-concept prototype using POC’s existing datasets, reaching technology readiness level (TRL)-3. In Phase II, POC plans to develop and demonstrate an ATRACE prototype software suite, reaching TRL-5/-6.

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

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