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Facial Recognition at Long Distance System

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-17-P-0039
Agency Tracking Number: S163-003-0053
Amount: $149,995.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM163-003
Solicitation Number: 2016.3
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-03-06
Award End Date (Contract End Date): 2017-09-06
Small Business Information
1845 West 205th Street
Torrance, CA 90501
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Shahzad Khalid, Ph.D.
 Group Leader, Adapative Computing
 (310) 320-3088
Business Contact
 Gordon Drew
Phone: (310) 320-3088
Research Institution

To address the USSOCOM need for man-portable advanced tactical facial recognition technologies at ranges of 650 m to 1 km, Physical Optics Corporation (POC) proposes to develop a new Facial Recognition at Long Distance (FAREL) system based on an innovative combination of technologies that include lucky imaging and a customized deep convolutional neural network (CNN) method. Specifically, the innovation in deep CNN and lucky imaging will enable the FAREL system to reliably recognize the face of a target at a distance of 1 km. This technology offers high probability of detection and real-time operation in a low size, weight, and power (SWaP) processing hardware, which directly address the USSOCOM requirements. During Phase I, we will conduct a thorough technology feasibility study, including an analysis of the critical technical factors, constraints, and relationships affecting FARELs long-range facial recognition performance. We will analyze the requirements to achieve a man-portable SWaP form factor. During Phase II, we will develop a detailed FAREL design and conduct a scalable prototype demonstration that will include a deep CNN method and lucky imaging processing. We will also develop a path to ruggedized man-portable FAREL operation.

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

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