Računalna detekcija elemenata strujnog kruga na električnim shemama

undergraduate thesis

• Title (english): Computer detection of circuit elements in electrical diagrams
• Author: Lorena Lazar
• Mentor: Mihaela Vranić (mentor)
• Committee member: Mihaela Vranić (predsjednik povjerenstva)
• Committee member: Damir Pintar (član povjerenstva)
• Committee member: Ana Šarčević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu opisan je postupak klasifikacije slika elemenata električne sheme. Na početku je napravljen kratak uvod u strojno učenje i računalni vid. Nakon toga, opisan je teorijski dio dvaju najčešće korištenih algoritama za klasifikaciju slika, a to su stroj potpornih vektora i konvolucijske neuronske mreže. Oba algoritma su korištena za izgradnju modela te su izgrađeni modeli međusobno uspoređeni. Također, detaljno je opisan proces prikupljanja slika te njihova obrada. Programsko rješenje je napisano u programskom jeziku Python uz korištenje biblioteka OpenCV i TensorFlow.

Abstract (english)

This thesis describes the procedure of image classification of electrical circuit elements. A Brief introduction of machine learning and computer vision was made at the beginning. After that, the theoretical part of the two most commonly used algorithms for image classification is described, and they are called the support vector machine and the convolutional neural network. Both algorithms were used to build models which were compared to each other. As well, the process of collecting images and their processing is described in detail. The programming solution was written in Python programming language using the OpenCV and TensorFlow libraries.

• Keywords: strojno učenje; računalni vid; obrada slike; klasifikacija slika; stroj potpornih vektora; konvolucijske neuronske mreže; električna shema
• Keywords (english): machine learning; computer vision; image processing; image classification; support vector machine; convolutional neural network; electrical scheme
• Language: croatian
• URN:NBN: urn:nbn:hr:168:459689
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-15 10:40:08