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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: HDTRA121C0055
Agency Tracking Number: T2-0422
Amount: $1,099,916.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: DTRA19B-002
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-07-28
Award End Date (Contract End Date): 2023-08-01
Small Business Information
20110 Ashbrook Place STE 275
Ashburn, VA 20147-1111
United States
DUNS: 078727222
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonathan Amazon
 (703) 468-1200
Business Contact
 Zeeshan Rasheed
Phone: (703) 344-8371
Research Institution
 University of Maryland
 Lisa Fall
3112 Lee Building
College Park, MD 20742
United States

 (301) 405-0574
 Nonprofit College or University

This STTR Phase II 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 II effort will focus on developing an end-to-end system for laboratory analysis and demonstrating the capabilities for identification of the function of novel and partially occluded laboratory equipment in representative scenarios. The proposed effort will build upon the technologies developed during Phase I of this project and will leverage expertise of the Novateur Team in the areas of target detection and classification, statistical relational learning, deep learning, ontology representations, semantic reasoning for scene understanding and inference, and CBRNE.

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

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