140D0419C0024
Definitive Contract
Overview
Government Description
RADAR, SYNTHETIC APERTURE RADAR (SAR), MACHINE LEARNING (ML), ADVANCED ALGORITHMS, UNMANNED AIRCRAFT SYSTEMS (UAS), COUNTER-UAS (CUAS), MOVING TARGET INDICATION (MTI), INTELLIGENCE SURVEILLANCE AND
RECONNAISSANCE (ISR)
Awardee
Awarding Agency
Funding Agency
Place of Performance
Springville, UT United States
Pricing
Fixed Price
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Related Opportunity
None
Imsar was awarded
Definitive Contract 140D0419C0024 (140D04-19-C-0024)
worth up to $73,616
by OUSD Research & Engineering
in February 2019.
The contract
was awarded
through SBIR Topic Machine Learning for Defense Applications
with a Small Business Total set aside
with
NAICS 541715 and
PSC AD91
via direct negotiation acquisition procedures with 235 bids received.
SBIR Details
Research Type
Small Business Innovation Research Program (SBIR) Phase I
Title
Advanced Algorithms for Radar Classification of Airborne Targets
Related Solicitation
Abstract
The proliferation of Unmanned Aircraft Systems (UAS) provides many benefits and opportunities, but also introduces a number of new challenges and threats. These UAS are widely commercially available and can be operated by individuals with little training. These UAS present a threat in both commercial and military environments. For example, near airports or forest fires, low flying aircraft could collide with a small UAS. Enemy operators in a military base or outpost could use a low cost UAS for surveillance or other nefarious purposes. In addition to the problems that UAS can create in terms of a tactical threat, they can also have issues of colliding with birds. Not only can UAS have problems with birds, but birds can be nuisance on airfields as well and can interfere with the taking off and landing of various aircrafts. A key to mitigating the risks presented by these low-cost UAS and birds is the ability to detect them and initiate proper actions. Radar, with its all weather, day and night operation is an excellent option for providing this capability. IMSAR proposes leveraging it's proven capability with machine learning to automatically distinguish between UAS and birds.
Research Objective
The goal of phase I is to establish the technical merit, feasibility, and commercial potential of proposed R&D efforts and determine the quality of performance of the small business awardee organization.
Topic Code
AF183-002
Agency Tracking Number
F183-002-1285
Solicitation Number
18.3
Contact
Curtis Thomas
Status
(Closed)
Last Modified 6/28/21
Period of Performance
2/4/19
Start Date
5/3/19
Current End Date
5/3/19
Potential End Date
Obligations
$73.6K
Total Obligated
$73.6K
Current Award
$73.6K
Potential Award
Award Hierarchy
Definitive Contract
140D0419C0024
Subcontracts
Activity Timeline
Transaction History
Modifications to 140D0419C0024
People
Suggested agency contacts for 140D0419C0024
Competition
Number of Bidders
235
Solicitation Procedures
Negotiated Proposal/Quote
Evaluated Preference
None
Commercial Item Acquisition
Commercial Item Procedures Not Used
Simplified Procedures for Commercial Items
No
Other Categorizations
Subcontracting Plan
Plan Not Required
Cost Accounting Standards
Exempt
Business Size Determination
Small Business
IT Commercial Item Category
Not Applicable
Awardee UEI
E7JMADMVM497
Awardee CAGE
4KR94
Agency Detail
Awarding Office
140D04 IBC ACQ SVCS DIRECTORATE (00004)
Funding Office
HQ0287
Created By
ttonsil
Last Modified By
gingrasc
Approved By
gingrasc
Legislative
Legislative Mandates
None Applicable
Performance District
UT-03
Senators
Mike Lee
Mitt Romney
Mitt Romney
Representative
John Curtis
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Interior Franchise Fund, Departmental Management (014-4529) | Other natural resources | Research and development contracts (25.5) | $73,616 | 100% |
Modified: 6/28/21