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
Contract: N/A
Agency Tracking Number: 1995
Amount: $56,903.00
Phase: Phase I
Program: SBIR
Awards Year: 1985
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Acel Inc
599 N Mathilda Ave - #235, Sunnyvale, CA, 94086
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 DR WEI-HANG CHU
 (408) 733-0246
Business Contact
Phone: () -
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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