• DocumentCode
    1653754
  • Title

    An embedded software development package platform for cloud OCR

  • Author

    Dobrea, Dan Marius ; Bot, Paul

  • Author_Institution
    Electron., Telecommun. & Inf. Technol., “Gheorghe Asachi” Tech. Univ., Iaşi, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In a world focused on the need of selling an increasingly large quantity of goods, quality, visual appearance, texture, flavor, taste etc. become central elements that support the global economic development. As a result, different types of food additives were and are still designed and used to fulfill such objectives. In what follows, the aim of this paper is to present the design and implementation of a new software package for embedded systems (smart phones) able to support a customer in the process of food purchasing. The developed software package runs on an Android platform and uses a cloud optical character recognition (OCR) algorithm. The information related to the product of interest and supplied at request to the customers are: the name and the code of the product´s additives, the risks associated with each food additive, the source of each food components, the limit of its daily consumption and the side effects, diet restrictions etc.
  • Keywords
    cloud computing; embedded systems; food additives; optical character recognition; purchasing; retail data processing; smart phones; software packages; Android platform; OCR algorithm; cloud OCR; cloud optical character recognition algorithm; customer support; diet restrictions; embedded software development package platform; embedded systems; food components; food purchasing process; product additives code; product additives name; smart phones; Additives; Cancer; Databases; Europe; Optical character recognition software; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4673-7487-3
  • Type

    conf

  • DOI
    10.1109/ISSCS.2015.7204003
  • Filename
    7204003