Programska aplikacija za detekciju objekata temeljem boje i oblika

undergraduate thesis

• Title (english): Software application for object detection based on color and shape
• Author: Daria Batinović
• Mentor: Tomislav Stipančić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2021-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

Otkrivanje i detekcija objekata važan je zadatak u mnogim aplikacijama za računalni vid. Takve aplikacije postigle su ogroman napredak zahvaljujući razvoju novih algoritama umjetne inteligencije i većom dostupnošću potrebne računalne učinkovitosti pa se primjenjuju za sve više zadataka detekcije i prepoznavanja. Cilj ovog završnog rada je, koristeći prikladne metode i algoritme iz područja strojnog vida, izraditi programsku aplikaciju za detekciju objekata temeljem boje i oblika. Razvijeno programsko rješenje temelji se na OpenCV biblioteci implementiranoj kroz Python programski jezik, a na koncu se analizira učinkovitost razvijenog modela u ovisnosti o trenutnim svjetlosnim uvjetima.

Abstract (english)

Object recognition and detection is an important task in many computer vision applications.
Such applications have made tremendous progress thanks to the development of new artificial intelligence algorithms and better availability of the required computational efficiency. Therefore, they are being applied to more and more detection and recognition tasks. The aim od this paper is to develop an android application for object detection, based on color and shape, using appropriate methods and algorithms from the field of machine vision. The developed software solution is based on the OpenCV library implemented through the Python programming language. Finally, the efficiency of the developed model is analyzed depending on the current lighting conditions.

• Keywords: detekcija objekata; boja; oblik; OpenCV; Python
• Keywords (english): object detection; color; shape; OpenCV; Python
• Language: croatian
• URN:NBN: urn:nbn:hr:235:342416
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-09-23 07:46:48