Low-cost data mining application via unused smartphone devices using computer vision and relevant data security issues
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU115802" target="_blank" >RIV/00216305:26510/15:PU115802 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26510/15:PU120260
Result on the web
<a href="https://ece.pefka.mendelu.cz/sites/default/files/imce/ece_2015_final.pdf" target="_blank" >https://ece.pefka.mendelu.cz/sites/default/files/imce/ece_2015_final.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Low-cost data mining application via unused smartphone devices using computer vision and relevant data security issues
Original language description
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 techni
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18 Annual International Conference Enterprise and Competitive Environment Conference Proceedings
ISBN
978-80-7509-342-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
304-313
Publisher name
Mendel University in Brno
Place of publication
Brno
Event location
Brno
Event date
Mar 5, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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