Primjena sustava za raspoznavanje lica u poljoprivrednom sektoru

undergraduate thesis

• Title (english): Application of Face Recognition Systems in the Agricultural Sector
• Author: Barbara Koščević
• Mentor: Mislav Grgić (mentor)
• Committee member: Mislav Grgić (predsjednik povjerenstva)
• Committee member: Sonja Grgić (član povjerenstva)
• Committee member: Tomislav Kos (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Raspoznavanje lica kao biometrijska tehnika koristi se u brojnim aspektima ljudskoga života. Automatizirani sustavi za raspoznavanje ljudskoga lica oslanjanju se na brojne metode čiji je cilj postići što višu stopu točnosti pri raspoznavanju, nadilazeći brojne probleme s kojima se sustavi suočavaju. Definiranjem sustava za raspoznavanje lica i pregledom često korištenih metoda predstavljena je primjena sustava za raspoznavanje ljudskih lica te prilagodba istih sustava pri raspoznavanju životinja, s naglaskom na poljoprivredu i domaće životinje. U svrhu rada započeta je izrada javno dostupne baze slike lica goveda, točnije mliječnih krava, nad kojom bi se provelo ispitivanje točnosti algoritama za raspoznavanje lica. Pri prikupljanju slika za izradu baze pojavile su se brojne tehničke poteškoće pri snimanju. U konačnici, baza nije izrađena, ali se teži k poboljšanju načina prikupljanja podataka potrebnih za bazu, te samom ostvarenju ideje ovoga rada.

Abstract (english)

Face recognition as a biometric technique is used in many aspects of human life. Automated human face recognition systems rely on a number of methods aimed at achieving the highest possible rate of recognition accuracy, overcoming the many problems that the systems face. By defining a facial recognition systems and reviewing frequently used methods, the application of facial recognition systems and the adaptation of the same systems in animal recognition was presented, with an emphasis on agriculture and domestic animals. For the purpose of this thesis, the development of a publicly available cattle face images database, more precisely dairy cows, was started, over which the accuracy of algorithms for face recognition would be tested. During the collection of images to create the database, numerous technical difficulties appeared. Ultimately, the database has not been developed, but the aim is to improve the way of collecting data needed for the database, and the realization of the idea of this thesis.

• Keywords: raspoznavanje lica; biometrija; sustavi za raspoznavanje lica; baza podataka; raspoznavanje lica životinja; poljoprivreda; goveda
• Keywords (english): facial recognition; biometry; facial recognition systems; database; animal facial recognition; agriculture; cattle
• Language: croatian
• URN:NBN: urn:nbn:hr:168:377167
• 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: 2023-01-14 20:49:44