Publication detail

Low-cost data mining application via unused smartphone devices using computer vision and relevant data security issues

HORTAI, F.

Original Title

Low-cost data mining application via unused smartphone devices using computer vision and relevant data security issues

Type

conference paper

Language

English

Original Abstract

The main aim of the article is to propose a “technology recycling” possibility, a way for reusing unused smartphone devices. For this issue a possible solution is created, a design and implementation of low-cost data mining application for smartphones. Computing power of smartphones is sufficient for computer vision methods, such as optical pattern recognition and character recognition in images and in camera stream which briefly explains the theoretical part. This article contains a specific proposal for data mining application for licence plate detection and recognition from image and from real time camera input. It can be used for automatic vehicle detection operations as information mining process (customers origin, the frequency of visits) and also to verify the vehicle (access control, check whether the car is stolen, etc.). To ensure data safety of recognized information and additional data from the device (date, time and GPS position, etc.) the possible software security techniques are explained (encryption methods, the possibility of using steganography in images). To show the whole concept and functioning a smartphone application was created on Android platform which is the most widespread operating system among smartphone devices. Application and software is based as an open source core project and can be set further for specified commercial purposes used in practice or for academic and teaching activities.

Keywords

data mining, computer vision, automated data acquiring, licence plate, OCR, Android, smartphone, image evaluation

Authors

HORTAI, F.

RIV year

2015

Released

9. 10. 2015

Publisher

Mendel University in Brno

Location

Brno

ISBN

978-80-7509-342-4

Book

18 Annual International Conference Enterprise and Competitive Environment Conference Proceedings

Edition

First edition

Pages from

304

Pages to

313

Pages count

9

URL

https://ece.pefka.mendelu.cz/sites/default/files/imce/ece_2015_final.pdf

BibTex

@inproceedings{BUT128095,
  author="František {Hortai}",
  title="Low-cost data mining application via unused smartphone devices using computer vision and relevant data security issues",
  booktitle="18 Annual International Conference Enterprise and Competitive Environment Conference Proceedings",
  year="2015",
  series="First edition",
  pages="304--313",
  publisher="Mendel University in Brno",
  address="Brno",
  isbn="978-80-7509-342-4",
  url="https://ece.pefka.mendelu.cz/sites/default/files/imce/ece_2015_final.pdf"
}