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REAL-TIME MODEL-BASED OBJECT RECOGNITION USING A COMBINED NEURAL NETWORK/EXPERT…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
9037
Program Year/Program:
1989 / SBIR
Agency Tracking Number:
9037
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Reshet, Inc.
314 North 32nd Street Philadelphia, PA 19104
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1989
Title: REAL-TIME MODEL-BASED OBJECT RECOGNITION USING A COMBINED NEURAL NETWORK/EXPERT SYSTEM
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $280,000.00
 

Abstract:

THIS PROPOSAL IS MOTIVATED BY THE COMPLEMENTARY CAPABILITIES OF EXPERT SYSTEM AND NEURAL NETWORK (NN) TECHNOLOGIES, AND BY THE POTENTIAL FOR A COMBINED SYSTEM TO PERFORM MORE EFFECTIVELY THAN EITHER ALONE. THE LOCAL, BOTTOM-UP APPROACH TO VISION CANNOT DEAL WITH THE NOISE AND THE ON-GOING PRODUCTION OF NOVELTY IN REAL VISUAL SCENES, WHILE EXPERT SYSTEM APPROACHES ARE TOO BRITTLE AND SLOW TO DO REAL-TIME IMAGE PROCESSING. WE BELIEVE THE COMBINED NN/EXPERT SYSTEM ARCHITECTURE IN THIS PROPOSAL WILL OVERCOME MANY OF THE PROBLEMS WITH PREVIOUS APPROACHES. THE PROPOSED PROJECT HAS 2 PRIMARY GOALS: 1) TO CONSTRUCT A COMPUTER APPLICATION THAT COMBINES A NEURAL NETWORK (NN) COMPONENT AND AN EXPERT SYSTEM COMPONENT IN A WAY THAT ENHANCES THE PERFORMANCE OF EACH; 2) USE THE SYSTEM TO CREATE FASTER MORE FLEXIBLE SOLUTIONS TO EXPERT LEVEL PROBLEMS IN VISION.

Principal Investigator:

Dr James Eilbert
2152229117

Business Contact:

Small Business Information at Submission:

Reshet Inc.
314 - N 32nd St Philadelphia, PA 19104

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No