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Title:Izvajanje modelov strojnega učenja na mobilnih napravah z uporabo programskega ogrodja ML Kit : diplomsko delo
Authors:Hristovski, Duško (Author)
Verber, Domen (Mentor) More about this mentor... New window
Files:.pdf UN_Hristovski_Dusko_2020.pdf (1,61 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V zaključnem delu smo predstavili programsko ogrodje “ML Kit” (Machine Learning Kit – komplet strojnega učenja) ter njegove modele, tehnologije in lastnosti. Ogrodje omogoča izvajanje vnaprej omogočenih modelov strojnega učenja na mobilnih napravah. V teoretičnem delu smo pojasnili, kaj je strojno učenje in umetna inteligenca in zakaj ogrodje ne potrebuje znanje nobenih. V nadaljevanju smo razložili obstoječe rešitve, podrobnosti posameznih modelov in tehnologij ML Kit-а. Za praktičnem delu smo naredili mobilna aplikacija za skeniranje računov v Android Studio, tako da smo s pomočjo analize in načrtovanja uspešno izvedli model na napravi za prepoznavanje besedila iz slik.
Keywords:strojno učenje, ML Kit, Android
Year of publishing:2020
Place of performance:Maribor
Publisher:[D. Hristovski]
Number of pages:VIII, 45 f.
Source:Maribor
UDC:621.397.7-026.26:004.85(043.2)
COBISS_ID:37258243 Link is opened in a new window
NUK URN:URN:SI:UM:DK:3YWDD9V2
License:CC BY-NC-ND 4.0
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
Views:70
Downloads:13
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Implementing machine learning models on mobile devices using the ML Kit software framework
Abstract:In this thesis we presented the software framework “ML Kit” with its models, technologies and features. The framework enables the implementation of pre-enabled machine learning models on mobile devices. In the theoretical part, we explained what machine learning and artificial intelligence are and why the framework does not need the knowledge of neither. Below we explained the details of individual models and technologies of ML Kit, as well as other existing solutions. For the practical part, we made a mobile application for scanning invoices in Android Studio. With the help of analysis and planning, we successfully implemented the on device model for recognizing text in images.
Keywords:machine learning, ML Kit, Android


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