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Title:Razvoj mobilne aplikacije za prepoznavo elementov diagramov BPMN
Authors:ID Kerenčič, Smiljan (Author)
ID Polančič, Gregor (Mentor) More about this mentor... New window
Files:.pdf UN_Kerencic_Smiljan_2016.pdf (12,73 MB)
MD5: 0A041D1A8F12789DCEB813C04401F7B3
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Tehnologija v današnjem času presega vse meje. Najlepši primer so mobilne naprave. Naši telefoni niso več samo mobilni, ampak so tudi pametni. Že nekaj časa čedalje večji pomen dobiva kamera telefona. S tem pa so se razvile tudi tehnologije in aplikacije, ki za svoje delovanje potrebujejo ravno mobilno kamero. Prepoznavo obraza, nasmeha, prstnega odtisa ali prikaz informacij o opazovani okolici opravijo tehnologije, ki spadajo na področje računalniškega vida. V diplomskem delu si bomo podrobneje ogledali različne možnosti prepoznave s pomočjo računalniškega vida. Razpravljali bomo o tem, kako te tehnologije uporabiti za prepoznavo elementov diagramov BPMN. Analizirali bomo nekatera orodja za modeliranje diagramov BPMN in kako ta orodja grafično prikazujejo posamezne elemente BMPN. Za lažje testiranje in dokazovanje hipotez bomo izdelali mobilno aplikacijo za mobilni operacijski sistem iOS, katere naloga bo prepoznati posamezne elemente BPMN natisnjene na papir. Izvorna koda izdelane aplikacije je izdana pod odprtokodno licenco, kar dopušča možnost nadaljnjega razvoja in raziskav.
Keywords:mobilna aplikacija, iOS, računalniški vid, prepoznava slik, modeliranje poslovnih procesov
Place of publishing:[Maribor
Publisher:S. Kerenčič
Year of publishing:2016
PID:20.500.12556/DKUM-57529 New window
UDC:004.414.23(043.2)
COBISS.SI-ID:19488790 New window
NUK URN:URN:SI:UM:DK:4BBUGS1X
Publication date in DKUM:31.03.2016
Views:1813
Downloads:222
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Mobile application development for indetifying graphical elements of BPMN diagrams
Abstract:Technology today transcends all boundaries. The best examples are mobile devices. Our phones are no longer just mobile, but also smart. For some time the importance of phone camera is increasing. Therefore a lot of mobile apps and technologies rely on mobile camera. Facial recognition, smile recognition, fingerprint recognition or just displaying information about our environment are done by solutions that fall within the scope of computer vision. In this diploma paper, we will take a closer look at the various possibilities of computer vision recognition. We will discuss how to use this technologies to identify graphical elements of BPMN diagrams. We will analyze some tools for BPMN diagram modeling and how these tools graphicaly present BMPN elements. To facilitate testing and proving hypotheses we will create a mobile app for iOS mobile operating system, its task will be to identify the individual BPMN elements printed on paper. The source code will be released under the open source license and will allow the possibility of further research and development.
Keywords:mobile aplication, iOS, computer vision, image recognition, business process modeling


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