SBIR/STTR Research Award

AUTONOMOUS TARGET RECOGNITION USING NEURAL NETWORKS

Award identifier 3d90296cf344fcef3664394b7ee348449f10a0ff7fd71c8693437aa7e7fefcf0Awarding agency Department of Defense · Navy

Award amount

$500,000

Program and phase

SBIR · Phase II

Award year

1989

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Open in CaptureIQRequest Access

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Expert-ease Systems
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

AN AUTONOMOUS TARGET RECOGNITION SYSTEM, INCORPORATING NEURAL NETS IS PROPOSED. A PROTOTYPE WILL BE DEVELOPED AND EVALUATED IN A VARIETY OF CIRCUMSTANCES TO ASSESS THE SYSTEMS RELIABILITY, TOLERANCE TO SIGNAL NOISE, AND ABILITY TO IDENTIFY OBJECTS GIVEN ONLY ORTHOGONALVIEWS OF THE TRAINING OBJECTS. THIS APPROACH OFFERS A NUMBER OF ADVANTAGES OVER CURRENT MACHINE VISION TECHNOLOGIES AND IS GENERALIZABLE TO A WIDE VARIETY OF PASSIVE SENSOR SYSTEMS. IT IS ALSO IMPLEMENTABLE IN VLSI CIRCUITS OR OPTICAL COMPUTERS.

Technology keywords

Not reported

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

SmartSoloChatGPTClaudePerplexityGrokGemini

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.