AIRBORNE MINE FIELD DETECTION IS DIFFICULT BECAUSE IN MOST CASES, THE FEATURES WHICH INDICATE THE PRESENCE OF THE MINE FIELD ARE VAGUE AND IRREGULAR.

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$56,903.00
Award Year:
1985
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
1995
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Acel Inc
599 N Mathilda Ave - #235, Sunnyvale, CA, 94086
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
DR WEI-HANG CHU
(408) 733-0246
Business Contact:
() -
Research Institution:
n/a
Abstract
AIRBORNE MINE FIELD DETECTION IS DIFFICULT BECAUSE IN MOST CASES, THE FEATURES WHICH INDICATE THE PRESENCE OF THE MINE FIELD ARE VAGUE AND IRREGULAR. THE COMPUTATION EFFORT TO SEARCH THROUGH THE FILMS FOR INFORMATION SUGGESTING THE PRESENCE OF A MINE FIELD IS ENORMOUS. DUE TO THE ADVANCEMENT OF MICROELECTRONICS AND ROBOT VISION TECHNOLOGY, AN INEXPENSIVE AIR-BORNE MINE FIELD DETECTOR WITH ARTIFICAL INTELLIGENCE MAY BE REALIZABLE. ACEL PROPOSES TO PERFORM AN ANALYSIS IN DETERMINING THE REALIZABILITY OF AN AUTOMATIC MINE FIELD DETECTOR WHICH WILL BE DESIGNED TO DETECT MOBILE MINE FIELDS WITH SURFACE OR SHALLOWLY BURIED MINES. THE AUTOMATIC MINE FIELD DETECTOR IS DROPPED FROM AN AIRPLANE TO AN AREA OF BATTLE FIELD THAT IS OF INTEREST. THE MINE DETECTOR SURVEYS THE SURROUNDING GROUND WITH ITS MULTITUDE OF SENSORS. IT WILL THEN GO THROUGH A SEQUENCE OF RECOGNITION DECISIONS USING ARTIFICIAL INTELLIGENCE TECHNIQUES, AND WILL DECISE ON THE PRESENCE AND LOCATION OF MINES.

* information listed above is at the time of submission.

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