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Automated EO/IR Detection Techniques For Floating Objects

Award Information

Department of Defense
Award ID:
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Arete Associates
P.O. Box 2607 Winnetka, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2006
Title: Automated EO/IR Detection Techniques For Floating Objects
Agency / Branch: DOD / NAVY
Contract: N65538-07-M-0043
Award Amount: $69,998.00


DDG 1000's Integrated Undersea Warfare system will employ high frequency sonar for floating MLO detection. This sensor responds to a variety of noise sources at the air-sea interface and typically cannot distinguish between different classes of floating objects. However, by cueing an EO/IR sensor to the region of the surface selected by the HF sonar, floating threats can potentially be automatically detected, classified, and presented for viewing to an operator in a way that reduces workload while improving the accuracy of threat evaluation. This proposal addresses critical new technology for the detection and classification of floating objects including mines and MLOs using the DDG 1000's EO/IR sensor suite. The goal of this SBIR program is to augment the MLO detection algorithm suite with the addition of two new software modules. The first is a false alarm rejection module that would screen false alarm video sequences output by the detection module, thereby relieving the operator of the burden of analyzing clearly non-threatening cases. The second, a classification module, contains logic that will assist the man-in-the-loop in judging how likely a detected MLO is a true threat, providing a confidence level for the leading class assignments along with supporting data.

Principal Investigator:

Paul Carter
Corporate Senior Scientis

Business Contact:

Curt Harkless
Vice President
Small Business Information at Submission:

P.O. Box 6024 Sherman Oaks, CA 91413

EIN/Tax ID: 952954108
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No