prikaz prve stranice dokumenta Primjena sustava umjetne inteligencije u poslovima nadzora državne granice
Access restricted to students and staff of home institution
master's thesis
Primjena sustava umjetne inteligencije u poslovima nadzora državne granice
Split: University of Split, University Department for Forensic Sciences, 2023. urn:nbn:hr:227:295176
Gašpar, Danijel
University of Split
University Department of Forensic Sciences

Institutional repository: Repository of University Department for Forensic Sciences

Cite this document

Gašpar, D. (2023). Primjena sustava umjetne inteligencije u poslovima nadzora državne granice (Master's thesis). Split: University of Split, University Department of Forensic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:227:295176

Gašpar, Danijel. "Primjena sustava umjetne inteligencije u poslovima nadzora državne granice." Master's thesis, University of Split, University Department of Forensic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:227:295176

Gašpar, Danijel. "Primjena sustava umjetne inteligencije u poslovima nadzora državne granice." Master's thesis, University of Split, University Department of Forensic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:227:295176

Gašpar, D. (2023). 'Primjena sustava umjetne inteligencije u poslovima nadzora državne granice', Master's thesis, University of Split, University Department of Forensic Sciences, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:227:295176

Gašpar D. Primjena sustava umjetne inteligencije u poslovima nadzora državne granice [Master's thesis]. Split: University of Split, University Department of Forensic Sciences; 2023 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:227:295176

D. Gašpar, "Primjena sustava umjetne inteligencije u poslovima nadzora državne granice", Master's thesis, University of Split, University Department of Forensic Sciences, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:227:295176

Metadata
TitlePrimjena sustava umjetne inteligencije u poslovima nadzora državne granice
Title (english)Application of artificial intelligence systems in state border surveillance
AuthorDanijel Gašpar
MentorMarko Pilić (mentor)
Committee memberJosip Kasum (predsjednik povjerenstva)
Committee memberTonći Prodan (član povjerenstva)
Committee memberMarko Pilić (član povjerenstva)
GranterUniversity of Split
University Department of Forensic Sciences
Split
Defense date and country2023-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		INTERDISCIPLINARY AREAS OF KNOWLEDGE
Cognitive Science (Natural, Technical, Biomedical and Healthcare, Social and Humanistic Sciences)
Abstract
U ovom radu istražuje se razvoj umjetne inteligencije (AI) i njena primjena u nadzoru državne granice. Povijest razvoja AI prati evoluciju ove tehnologije, uključujući Turingov test, koncept kineske sobe, strojno učenje, duboko učenje, neuronske mreže i ekspertne sustave. Nadalje, razmatra se pravna utemeljenost primjene AI, uključujući zakone na razini EU i nacionalne strategije za umjetnu inteligenciju u različitim državama. U raspravi se analizira primjena sustava AI u poslovima granične policije, uključujući sustave prepoznavanja lica, biometrijsku autentifikaciju, daljinsku biometrijsku identifikaciju, automatsko prepoznavanje registarskih pločica, sustave za prevođenje govora, procjenu rizika i nadzor dronovima. Naglašava se važnost zaštite ljudskih prava i primjena etičkih načela koda upotrebe umjetne inteligencije. Na temelju provedenih istraživanja i analiza, rad donosi rezultate koji ilustriraju koristi i izazove primjene AI u nadzoru državne granice.
Abstract (english)
In this paper, we explore the development of Artificial Intelligence (AI) and its application in border surveillance. The history of AI development traces the evolution of this technology, including the Turing test, the concept of the Chinese room, machine learning, deep learning, neural networks, and expert systems. Furthermore, we examine the legal foundation for the use of AI, encompassing EU-level laws and national strategies for artificial intelligence in various countries. In the discussion, we analyze the application of AI systems in border policing, including facial recognition systems, biometric authentication, remote biometric identification, automatic license plate recognition, speech translation systems, risk assessment, and drone surveillance. Weemphasize the importance ofsafeguarding human rights and applying ethical principlesin the use of artificial intelligence. Based on our research and analysis, the paper presents findings that illustrate the benefits and challenges of AI implementation in border surveillance.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:227:295176
Study programmeTitle: Forensic Sciences
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra forenzike (magistar/magistra forenzike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2024-01-27 12:40:57