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master's thesis
Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:879563
Šikić, Franko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šikić, F. (2022). Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:879563

Šikić, Franko. "Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:879563

Šikić, Franko. "Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:879563

Šikić, F. (2022). 'Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:879563

Šikić F. Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:879563

F. Šikić, "Analiza popunjenosti proizvoda na policama temeljena na računalnom vidu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:879563

Metadata
TitleAnaliza popunjenosti proizvoda na policama temeljena na računalnom vidu
Title (english)Computer Vision-based Occupancy Analysis in Product Shelf Images
AuthorFranko Šikić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-01-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Popunjenost polica u trgovinama može se analizirati koristeći sustav temeljen na računalnom vidu kako bi se postigli bolji prodajni rezultati ili ostvarilo bolje iskustvo kupovine kod kupaca. Analizu popunjenosti polica moguće je provesti detekcijom proizvoda na policama trgovina, ali i detekcijom praznina na policama. Efikasna detekcija nedostatka proizvoda na policama te brza nadopuna polica s novim proizvodima može povećati prodaju za nekoliko posto, stoga je poseban fokus rada stavljen na detekciju praznina. U radu je navedeno i objašnjeno nekoliko metoda za ostvarivanje detekcije proizvoda i detekcije praznina te je opisan i implementiran potpuno novi pristup u detekciji praznina na policama korištenjem YOLOv5 modela. Naposljetku, prikazani su rezultati detekcije praznina na policama na skupu slika boca snimljenih korištenjem mobilnih uređaja u nekoliko hrvatskih prodajnih lanaca.
Abstract (english)
Occupancy of store shelves can be analysed using a computer vision-based system in order to achieve better sale results or to improve customers' shopping experience. Shelves' occupancy analysis can be carried out by detecting products on store shelves, as well as by detecting void spaces on store shelves. Efficient detection of the missing products on shelves and fast shelf replenishment can boost sales by a few percent, so the focus of this thesis is being put on the detection of void spaces. The thesis lists and describes several approaches to both product detection and void spaces detection, while a novel approach to detection of void spaces on store shelves using YOLOv5 model is described and implemented. Finally, the thesis shows results of the void spaces detection on the dataset which consists of shelf images containing bottles, taken with mobile phones in several Croatian supermarket chains.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:879563
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2023-01-13 13:55:15