Razvoj mobilne aplikacije za prepoznavo elementov diagramov BPMN

diplomsko delo

Smiljan Kerenčič (Author), Gregor Polančič (Mentor)

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

mobilne aplikacije;iOS;računalniški vid;prepoznava slik;modeliranje poslovnih procesov;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	S. Kerenčič
UDC:	004.414.23(043.2)
COBISS:	19488790
Views:	1122
Downloads:	151
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Mobile application development for indetifying graphical elements of BPMN diagrams
Secondary 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.
Secondary keywords:	mobile aplications;iOS;computer vision;image recognition;business process modeling;
URN:	URN:SI:UM:
Type (COBISS):	Undergraduate thesis
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informatika
Pages:	IX, 116 f.
ID:	9125183