Thesis Details

Mobilní aplikace pro detekci graffiti tagů

Bachelor's Thesis Student: Chovaneček Přemysl Academic Year: 2018/2019 Supervisor: Špaňhel Jakub, Ing.
English title
Graffiti Tags Detection Mobile Application
Language
Czech
Abstract

Thesis focuses on the object recognition of images, using the principles of artificial intelligence. It solves the signature detection of authors in the field of art called graffiti. It concerns about basic problematic of this field, it also points to the use of computer vision followed by practical application on mobile devices, specifically on the Android platform. The selected neural network models was the ssdMobileNet_v2. The trained model achieves mAP accuracy of 73.5% meanwhile the IoU was set to 0.6. After the quantization process, the accuracy was reduced to 68.5%. The mobile application provides real-time detection and several other necessary functions for localization and data collection.

Keywords

Computer vision, graffiti, mobile application, neural networks, TensorFlow, Android

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
11 June 2019
Reviewer
Teuer Lukáš, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
CHOVANEČEK, Přemysl. Mobilní aplikace pro detekci graffiti tagů. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Špaňhel Jakub. Available from: https://www.fit.vut.cz/study/thesis/19538/
BibTeX 
@bachelorsthesis{FITBT19538,
    author = "P\v{r}emysl Chovane\v{c}ek",
    type = "Bachelor's thesis",
    title = "Mobiln\'{i} aplikace pro detekci graffiti tag\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19538/"
}

Theses

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