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undergraduate thesis
Rad robota na temelju prepoznatih objekata snimljenih kamerom
2024. urn:nbn:hr:122:335105
Hmelik, Marko
University North
University centre Varaždin

Cite this document

Hmelik, M. (2024). Rad robota na temelju prepoznatih objekata snimljenih kamerom (Undergraduate thesis). Koprivnica: University North. Retrieved from https://urn.nsk.hr/urn:nbn:hr:122:335105

Hmelik, Marko. "Rad robota na temelju prepoznatih objekata snimljenih kamerom." Undergraduate thesis, University North, 2024. https://urn.nsk.hr/urn:nbn:hr:122:335105

Hmelik, Marko. "Rad robota na temelju prepoznatih objekata snimljenih kamerom." Undergraduate thesis, University North, 2024. https://urn.nsk.hr/urn:nbn:hr:122:335105

Hmelik, M. (2024). 'Rad robota na temelju prepoznatih objekata snimljenih kamerom', Undergraduate thesis, University North, accessed 20 October 2024, https://urn.nsk.hr/urn:nbn:hr:122:335105

Hmelik M. Rad robota na temelju prepoznatih objekata snimljenih kamerom [Undergraduate thesis]. Koprivnica: University North; 2024 [cited 2024 October 20] Available at: https://urn.nsk.hr/urn:nbn:hr:122:335105

M. Hmelik, "Rad robota na temelju prepoznatih objekata snimljenih kamerom", Undergraduate thesis, University North, Koprivnica, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:122:335105

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Metadata
TitleRad robota na temelju prepoznatih objekata snimljenih kamerom
Title (english)The operation of the robot based on the recognized objects recorded by the camera
AuthorMarko Hmelik
MentorZoran Busija (mentor)
Committee memberSiniša Švoger (predsjednik povjerenstva)
Committee memberZoran Busija (član povjerenstva)
Committee memberAnte Čikić (član povjerenstva)
GranterUniversity North
(University centre Varaždin)
Koprivnica
Defense date and country2024-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovome radu je u Python programu treniran YOLOv8 model neuronske mreže da prepozna čovjeka, model kocke i valjka na kameri. Zatim je u drugom Python programu napravljen server za socket komunikaciju TCP protokola, pomoću koje se informacije o detektiranim objektima u kadru kamere šalju u RAPID zadatak. U Python-u je također napravljen program sučelja koji objedinjuje program za detekciju i program za socket komunikaciju u jednu cjelinu. Program RobotStudio poslužio je za izradu okruženja robota. Također je napravljena simulacija pomoću značajki koje će biti detaljno opisane u ovom radu. Modeli korišteni za simulaciju napravljeni su u SolidWorks programu. U RAPID programskom jeziku programa RobotStudio programiran je klijent za socket komunikaciju koji stalno komunicira sa Python programom. U RAPID-u se također upravlja radom robota i signalima kontrolera.
Abstract (english)
In this paper, a YOLOv8 neural network model was trained in Python to recognize a human, a cube and a cylinder model on a camera. Then, in another Python program, a server for TCP protocol socket communication was created, by means of which information about detected objects in the camera frame is obtained and sent to the RAPID task. An interface program was also created in Python that combines the detection program and the socket communication program into a single entity. The RobotStudio program was used to create the robot environment. A simulation was also made using the features that will be described in detail in this paper. The models used for the simulation were made in the SolidWorks program. In the RAPID programming language, the RobotStudio program is programmed as a socket communication client that constantly communicates with the Python program. Robot operation and controller signals are also managed in RAPID.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:122:335105
Study programmeTitle: Mechatronics
Study programme type: professional
Study level: undergraduate
Academic / professional title: prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka mehatronike (prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka mehatronike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-17 12:33:55