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Assessing the Feasibility of ALIAS, the Automated Literal Imagery Analysis System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-6006
Agency Tracking Number: F182-006-0616
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF182-006
Solicitation Number: 18.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-01-07
Award End Date (Contract End Date): 2021-01-07
Small Business Information
400 South Main Street
Springboro, OH 45066
United States
DUNS: 601628717
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Cooney
 Senior Research/Data Scientist
 (937) 743-0361
Business Contact
 Michael McCloskey
Phone: (937) 684-3339
Research Institution

NGA Director Robert Cardillo stated during his 2017 Geospatial Intelligence (GEOINT) Keynote Address, “If we attempted to manually exploit all of the imagery we’ll collect over the next 20 years, we’d need 8 million imagery analysts.� We will need to automate 75% of analysts’ current workload in order to successfully analyze the deluge of imagery. To answer that need, 361 Interactive is developing a concept for an Automated Literal Imagery Analysis System (ALIAS). As part of a unique new opportunity, 361 Interactive will participate in a three-month technology accelerator sponsored by the US Air Force, working with mentors to discover potential customers, ensure ALIAS viability, and perform rapid redesign and agile development facilitated by customer feedback. The fortuitous timing of this program will afford 361 Interactive the resources, access, and venue to develop our ALIAS concept, concluding Phase I with a thorough feasibility study to implement ALIAS, dovetailing into Phase II with a prototype demonstration. Unlike the DoD’s other efforts, which focus on automating full-motion video, ALIAS will enhance GEOINT analysts’ capabilities by streamlining literal imagery observation management (a core function of Object Based Production and Activity Based Intelligence), or possibly even relieving the analysts of the cumbersome process altogether.

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

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