A Portable Thermal Imaging Diagnostic System for Automotive Tires

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,929.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
DAAE07-01-C-L032
Award Id:
52943
Agency Tracking Number:
A002-1443
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
888 Easy Street, Simi Valley, CA, 93065
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
611466855
Principal Investigator:
TassoPolitopoulos
Chief Scientist
(805) 582-0582
tpolito@americangnc.com
Business Contact:
JanetOliver
VP of Finance
(805) 582-0582
joliver@americangnc.com
Research Institute:
n/a
Abstract
In this project, an innovative portable thermal imaging diagnostic system will be developed to detect faulty or damaged tires on moving trucks. By investigating and integrating a proposed advanced multispectral imagery processing technology, this projectwill result in an innovative portable thermal imaging diagnostic system. The system is comprised of a hand held commercial thermal imaging spectrometer in conjunction with an embedded DSP that processes the sensed data to analyze the thermal image andpredict the time to failure based on the failure's thermal image database. The system is capable of continuous capture of faulty tire imagery across multiple spectral bands and processing the image data to detect, identify, and locate the local heatgeneration. The image processing software utilizes the proposed technologies from related remote sensing applications to perform the image analysis. These techniques are based on the use of Memetic Algorithms. The system is highly portable, providesautomotive tire quality analysis to predict the time to failure of automotive tires, provides high accuracy with low false detection rates, and is cost effective.The system to be developed during this project has excellent commercial potential, especiallyfor civilian and military uses in automobiles and aircraft.

* information listed above is at the time of submission.

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