Programska aplikacija za detekciju maski na licu

undergraduate thesis

• Title (english): Software application for a face mask detection
• Author: Karlo Posavec
• Mentor: Tomislav Stipančić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2021-02-25, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence

Abstract

Računalni vid je područje umjetne inteligencije koje se bavi omogućavanjem računala da prepoznaju i procesiraju razne objekte sa slika i videa na način kako je to svojstveno ljudima. Zahvaljujući ogromnoj količini vizualnih podataka koja se dnevno generira, razvojem novih algoritama i većom dostupnošću potrebne računalne snage, u posljednje vrijeme došlo je do značajnog napretka računalnog vida i sukladno tome primjenjuje se kod sve više zadataka koji uključuju prepoznavanje. Uzimajući ovo u obzir u ovom radu je razvijena softverska aplikacija za prepoznavanje maski na licu koja se bazira na umjetnim neuronskim mrežama i računalnom vidu. Ova softverska aplikacija izrađena je u programskom jeziku Python. Na kraju ovog rada provedena je evaluacija koja je uključivala ljudske subjekte.

Abstract (english)

Computer vision is the field of artificial intelligence that deals with enabling computers to recognize and process various objects from images and videos in the way that is inherent to humans. Thanks to the huge amount of visual data generated daily, the development of new algorithms and greater availability of the necessary computing power, in recent times there has been a significant improvement in computer vision and accordingly it is applied to more and more tasks involving recognition. Taking this into account, a software application for face mask detection based on artificial neural network and computer vision was developed. This software application was developed in the Python programming language. At the end of this paper, evaluation was carried out which involved human subjects.

• Keywords: maske za lice; Python; umjetne neuronske mreže; konvolucijske neuronske mreže; umjetna inteligencija; strojno učenje; duboko učenje; računalni vid
• Keywords (english): face masks; Python; artificial neural networks; convolutional neural networks; artificial intelligence; machine learning; deep learning; computer vision
• Language: croatian
• URN:NBN: urn:nbn:hr:235:495039
• 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: 2021-02-19 18:50:18