• DocumentCode
    3731312
  • Title

    Drone sound detection

  • Author

    J?zsef Mezei;Viktor Fiaska;Andr?s Moln?r

  • Author_Institution
    John von Neumann Faculty of Informatics, ?buda University, B?csi ?t 96/b, H-1034 Budapest, Hungary
  • fYear
    2015
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    Nowadays small size UAV (Unmanned Aerial Vehicle) systems are really popular. We can find so many of them on video sharing portals and nowadays there are many articles on the media with the advantages and disadvantages of them. We can use “drones” for so many useful task, but on the other hand the risk is increasing with the growing popularity. We can found articles about the unethical and unlawful usages of them. They can be used for smuggling, observation, violation of privacy etc. As a consequence of the growing popularity, the price of these things is quickly becoming lower. High quality cameras are also widespread and it´s also easy to install one onto a commercially available drone. We have to admit that these factors are become increasingly critical.
  • Keywords
    "Correlation","Band-pass filters","Fingerprint recognition","Databases","Informatics","Global Positioning System","Computational intelligence"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2015 16th IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/CINTI.2015.7382945
  • Filename
    7382945