• DocumentCode
    2785016
  • Title

    Projectile identification system

  • Author

    Beach, Glenn ; Cohen, Charles J. ; Moody, Gary ; Henry, Martha

  • Author_Institution
    Cybernet Syst. Corp., Ann Arbor, MI, USA
  • fYear
    2003
  • fDate
    15-17 Oct. 2003
  • Firstpage
    51
  • Lastpage
    55
  • Abstract
    The U.S. Army plans for the needs of future warfare to retain its technological superiority. Future Combat Systems (FCS) is a major effort designed to meet this need. FCS includes multiple automated fire weapons. On current systems, a human typically enters information about each projectile loaded. This is a slow process, placing the soldier and the weapon in danger. Cybernet (through funding by TACOM-ARDEC) has created a vision system that leverages multiple simple and mature image processing techniques to recognize the projectile type as it is loaded into the system´s magazine. The system uses a combination of shape detection, color detection, and character identification, along with knowledge of the projectile (such as CAD model, text location, coloring, etc.) to identify the projectile. The system processes the data in real-time, allowing the soldier to load the projectiles as quickly as possible. The system has been designed with a modular recognition framework.
  • Keywords
    image processing; projectiles; weapons; CAD model; Cybernet; U.S. Army; character identification; color detection; future combat systems; image processing; modular recognition; multiple automated fire weapons; projectile identification system; projectile recognition; shape detection; soldiers; text location; vision system; Design automation; Fires; Humans; Image processing; Image recognition; Machine vision; Projectiles; Real time systems; Shape; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
  • Print_ISBN
    0-7695-2029-4
  • Type

    conf

  • DOI
    10.1109/AIPR.2003.1284248
  • Filename
    1284248