Razvoj sistema za avtomatsko krmiljenje kamere na kontejnerskih žerjavih

Bassanese, Endi (author), Karer, Gorazd (mentor)

Diplomska naloga prikazuje celoten postopek razvoja sistema za avtomatsko prilagoditev povečave slike kamere na kontejnerskih žerjavih. Pred začetkom razvojaje bilo potrebno ugotoviti, kako rešiti problem vizualnega nadzora pri upravljanjužerjava na velikih višinah. Cilj je bil izboljšati preglednost in učinkovitost dela vpristanišču, ter zmanjšati utrujenost žerjavista ter nadalje rešiti problem dela navišini, kar pomeni, da operaterju ni več treba delati v kabini na višini 40 m, temvečlahko žerjav upravlja iz varnega delovnega mesta na tleh pristanišča. Osrednji prispevek naloge je hibridni algoritem za nastavljanje zooma, ki omogoča lažje delo zaoperaterja žerjava. Za realizacijo sistema je bila uporabljena visoko zmogljiva mrežnakamera AXIS Q6315-LE PTZ (angl.Pan-Tilt-Zoom) programski okolji Python inCoDeSys. Kamera je prek mrežnega kabla UTP priključena na lokalno omrežje.Posebna pozornost je bila namenjena komunikaciji med komponentami sistema. Zaizmenjavo pozicijskih podatkov med PLK-jem in Python aplikacijo je bil izbranprotokol Modbus TCP/IP. Za videoprenos sta bila primerjana kodeka MJPEG inH.265.

• Language: Slovenian
• Keywords: AXIS Q6315-LE PTZ, Python, PLK, CoDeSys, ModbusTCP, MJPEG, H.265, hibridni zoom
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FE - Faculty of Electrical Engineering
• Year: 2026
• PID: 20.500.12556/RUL-184444
• COBISS.SI-ID: 284248067
• Publication date in RUL: 07.07.2026

Secondary language

• Language: English
• Title: Development of an automated camera control system for container cranes

Abstract

This bachelor’s thesis presents the complete development process of a system for theautomatic adjustment of camera zoom on container cranes. Before the developmentphase began, it was necessary to determine how to solve the problem of visualsupervision during crane operation at great heights. The objective was to improvevisibility and operational efficiency in the port, reduce crane operators’ fatigue, andultimately address the challenges associated with working at height. This enablesthe operator to control the crane remotely from a safe workstation at ground level,eliminating the need to work inside the crane cabin located 40 m above the ground.The main contribution of the thesis is a hybrid zoom adjustment algorithm, whichmakes the work easier for the crane operator. The system was implemented using ahigh-performance AXIS Q6315-LE PTZ (angl. Pan-Tilt-Zoom) network camera andthe Python and CoDeSys programming environments. The camera is connected to thelocal network via a UTP cable. Special attention was paid to communication betweensystem components. The Modbus TCP/IP protocol was selected for exchangingposition data between the PLC and the Python application. For video transmission,the MJPEG and H.265 codecs were compared. K

• Keywords: AXIS Q6315-LE PTZ, Python, PLC, CoDeSys, Modbus TCP, MJPEG, H.265, hybrid zoom