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Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: HDTRA120P0010
Agency Tracking Number: T19B-002-0005
Amount: $162,485.96
Phase: Phase I
Program: STTR
Solicitation Topic Code: DTRA19B-002
Solicitation Number: 19.B
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-30
Award End Date (Contract End Date): 2020-07-29
Small Business Information
20110 Ashbrook Place STE 275
Ashburn, VA 20147
United States
DUNS: 078727222
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonathan Amazon
 Principal Scientist
 (703) 468-1200
 jamazon@novateurresearch.com
Business Contact
 Khurram Hassan-Shafique
Phone: (703) 468-1200
Email: kshafique@novateurresearch.com
Research Institution
 Novateur Research Solutions, LLC
 Dr. Cornelia M. Fermuller Dr. Cornelia M. Fermuller
 
20110 Ashbrook Pl Suite 275
Ashburn, VA 20147
United States

 (301) 405-1768
 Nonprofit college or university
Abstract

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on implementing the proposed framework and enabling technologies and demonstrating their effectiveness, and technical and operational feasibility for identification of the function of novel and partially occluded laboratory equipment. The proposed effort will build upon the vast portfolio of existing work by the Novateur Team in the areas of target detection and classification, statistical relational learning, deep learning, ontology representations, and semantic reasoning for scene understanding and inference.

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

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