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Title:Uporaba konvolucijske nevronske mreže na osnovi območij (R-CNN) za segmentacijo krompirjev v procesu sortiranja : diplomsko delo
Authors:ID Verk, Jaka (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Hernavs, Jernej (Comentor)
Files:.pdf UN_Verk_Jaka_2025.pdf (3,06 MB)
MD5: F3801B087B6526311DD0F52E20D33A27
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Ustvarili smo sortirnik krompirja, kateri ločuje krompir na tri kategorije s pomočjo kamer. Za hitrejše delovanje sortirnika, da obdeluje več krompirjev na enkrat, mora sortirnik za najprej vsak krompir segmentirati, česar smo se lotili s pomočjo regionalno zasnovane konvolucijske nevronske mreže (RCNN). Uporabljena metoda in naši pristopi so dokumentirani v tej diplomski nalogi.
Keywords:Segmentacija, mask-RCNN, sortiranje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[J. Verk]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (IX, 33 f.))
PID:20.500.12556/DKUM-93272 New window
UDC:004.032.26:004.932(043.2)
COBISS.SI-ID:277796611 New window
Publication date in DKUM:23.04.2026
Views:222
Downloads:4
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-ND 4.0, Creative Commons Attribution-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nd/4.0/
Description:Under the NoDerivatives Creative Commons license one can take a work released under this license and re-distribute it, but it cannot be shared with others in adapted form, and credit must be provided to the author.
Licensing start date:16.06.2025

Secondary language

Language:English
Title:Using region based convolutional neural network (R-CNN) for potato segmentation in a sorting process
Abstract:We have created a potato sorter, which sorts potatoes based on camera input. For higher efficiency the sorter must segment potatoes first, so that it can handle more potatoes at once. For implementation of the segmentation we have decided on using region-based convolutional neural network (RCNN). The method used and our approaches are documented in this thesis.
Keywords:Segmentation, mask-RCNN, sorting


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