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Title:Optično sortiranje plastičnega granulata
Authors:ID Kožar, Patrik (Author)
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Simonič, Marko (Author)
Files:.pdf VS_Kozar_Patrik_2025.pdf (2,16 MB)
MD5: 0C3EBA7ACEE625F964F131FBE5BE8980
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo obravnava razvoj in izvedbo optičnega sortirnega sistema za razvrščanje granulata po barvi in velikosti. Glavni cilj je bil izdelati preprost, a učinkovit prototip, ki z uporabo strojnega vida zazna posamezne delce na tekočem traku in jih s pomočjo pnevmatskih ventilov usmeri v ustrezne zbiralnike. Sistem temelji na Beckhoffovem krmilniku in TwinCAT Vision okolju, kjer smo implementirali algoritem za zajem slike, določanje lege delcev in časovno usklajeno proženje ventilov. Preizkusi so pokazali, da je sistem pravilno razvrstil približno 73 % vseh granul, kar potrjuje delovanje prototipa in daje dobro osnovo za nadaljnji razvoj.
Keywords:sortirnik, optični, granulat, strojni vid, Beckhoff
Place of publishing:Maribor
Publisher:[P. Kožar]
Year of publishing:2025
PID:20.500.12556/DKUM-94234 New window
UDC:681.184:004.451.4(043.2)
COBISS.SI-ID:254721283 New window
Publication date in DKUM:22.09.2025
Views:161
Downloads:23
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:18.08.2025

Secondary language

Language:English
Title:Optical sorting of plastic granulate
Abstract:The diploma thesis addresses the development and implementation of an optical sorting system for classifying granulate by color and size. The main objective was to create a simple yet effective prototype capable of detecting individual particles on a conveyor belt using machine vision and directing them to appropriate collection bins via pneumatic valves. The system is based on a Beckhoff controller and TwinCAT Vision environment, where we implemented algorithms for image acquisition, particle position determination, and precisely timed valve activation. Testing demonstrated that the system correctly sorted approximately 73% of all granules, confirming the prototype's functionality and establishing a solid foundation for further development.
Keywords:sorter, optical, granulate, machine vision, Beckhoff


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