Vehicle Detection Using a Hardware-Implemented Neural Net

  • Authors:
  • Suryanarayana Mantri;Darcy Bullock;James Garrett, Jr.

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Expert: Intelligent Systems and Their Applications
  • Year:
  • 1997

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Abstract

The authors describe how they developed a vehicle-detection model based on a Radial Basis Function network and implemented it using the Ni1000 Recognition Accelerator, which can classify up to 32,000 patterns per second驴several hundred times faster than the software approach to neural net processing. a detection system using this implementation had a success rate greater than 90%.