• DocumentCode
    2719402
  • Title

    Multi-source Information Terminal of Proactive Based on S3C6410

  • Author

    Di, Liu ; Feng, Yang

  • Author_Institution
    Dept. of Phys. & Electron. Eng., Hechi Univ., Yizhou, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1083
  • Lastpage
    1086
  • Abstract
    The internet of thing´s vehicle management system with early warning function requirements for parallel, real-time processing information from RFID, video, audio, and control channel etc. To meet these requirements, proposed a solution about active and multi-source information terminal based on S3C6410. The S3C6410 processor with ARM11 core is the center of the terminal, it can acquisition, encoding and storage the real-time video and audio, can drive UHF module to read the tags which installed in the car and upload the data to the server, receive feedback of decision information and generate early warning signals on demand, achieve safe, efficient, automated management of vehicles in the park.
  • Keywords
    Internet of Things; audio signal processing; data acquisition; radiofrequency identification; road vehicles; sensor fusion; traffic information systems; video signal processing; ARM11 core; Internet of Things; RFID information; S3C6410 processor; UHF module; audio information; automated park vehicle management; control channel information; data acquisition; data storage; decision information; early warning function requirement; early warning signal; encoding; feedback; parallel real-time processing; proactive multisource information terminal; real-time video; vehicle management system; video information; Electronics packaging; Flash memory; Internet; Real-time systems; Servers; Streaming media; Vehicles; S3C6410; multi-source information Terminal; real-time processing; vehicle early warning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.274
  • Filename
    6394512