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undergraduate thesis
Nove metode u razvrstavanju otpada
2018. urn:nbn:hr:200:547574
Kaučić, Vjekoslava
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Core Courses
Chair of Mathematics, Physics and Mechanical Engineering

Cite this document

Kaučić, V. (2018). Nove metode u razvrstavanju otpada (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:547574

Kaučić, Vjekoslava. "Nove metode u razvrstavanju otpada." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:547574

Kaučić, Vjekoslava. "Nove metode u razvrstavanju otpada." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:547574

Kaučić, V. (2018). 'Nove metode u razvrstavanju otpada', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 11 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:547574

Kaučić V. Nove metode u razvrstavanju otpada [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 December 11] Available at: https://urn.nsk.hr/urn:nbn:hr:200:547574

V. Kaučić, "Nove metode u razvrstavanju otpada", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:547574

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Metadata
TitleNove metode u razvrstavanju otpada
Title (english)New methods of classifying waste
AuthorVjekoslava Kaučić
MentorAnita Katić (mentor)
MentorGoran Rozing (mentor)
Committee memberDominika Crnjac Milić (predsjednik povjerenstva)
Committee memberAnita Katić (član povjerenstva)
Committee memberGoran Rozing (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Core Courses)
(Chair of Mathematics, Physics and Mechanical Engineering)
Osijek
Defense date and country2018-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
U ovom radu obrađena je problematika novih metoda recikliranja otpada s naglaskom na mogućnosti upotrebe robota u procesu razvrstavanja otpada. Za razliku od tradicionalnih načina za razvrstavanje otpada koji se temelje na ručnom radu, robotski sustav za sortiranje otpada temelji se na umjetnoj inteligenciji (AI). Kontinuirano se nadograđuje programska podrška u svrhu povećanja učinkovitosti, preciznosti, brzine i sposobnosti postojećeg sustava u procesu razvrstavanja otpada. Nadogradnja sustava omogućava dodavanje novih frakcija i čini proces razvrstavanja prilagodljivim za sve postavljenje zdatake. Glavna prednost automatizacije je rad pogona u više smjena bez zaustavljanja i bez prekida procesa sortiranja, te visoka stopa točnosti razvrstavanja i čistoća reciklata.
Abstract (english)
This paper deals with the issue of new methods of recycling of waste with an emphasis on the possibility of using robots in the process of waste selection. Unlike traditional waste sorting methods based on manual work, the robotic waste sorting system is based on artificial intelligence (AI). In order to increase the efficiency, precision, speed and ability of the existing system in the waste sorting process, it is continuously upgraded by software support that allows adding new fractions and makes the sorting process adaptable to all job placements. The main advantage of automation is drive operation in multiple shifts without stopping and interrupting the sorting process with high accuracy of sorting as well as fraction puritiy.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:547574
Study programmeTitle: Professional study programme of Electrical Engineering; specializations in: Power Engineering, Automation, Informatics
Course: Power Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-09-21 13:31:26