Preprost videonadzorni obrazni biometrični sistem za domačo rabo

Kranjec, Matej (author), Dobrišek, Simon (mentor)

Namen diplomske naloge je razviti cenovno ugoden, preprost in neopazen videonadzorni sistem, ki uporablja video analizo za razpoznavanje in sledenje obrazom v realnem času in za delovanje potrebuje le kamero in Raspberry Pi. Cilj dela je razviti napreden sistem, ki bo sposoben zaznavati obraze na videoposnetkih in jih razpoznati na podlagi predhodno naučenega modela za razpoznavanje obrazov. Sistem je namenjen varovanju doma in obveščanju o nepooblaščenem vstopu. Tak sistem je zelo uporaben tudi v praksi. Njegova glavna naloga je izboljšanje varnosti in nadzora v različnih okoljih. Sistem omogoča razpoznavanje oseb, ki se pojavijo na videoprenosu, kar je ključno za omejevanje dostopa nepooblaščenim osebam v določene prostore. S tem se povečuje nivo varnosti in zmanjšuje tveganje nepooblaščenega dostopa.

• Language: Slovenian
• Keywords: Varnosti sistem, biometrija, zaznavanje obrazov, Haar, LBP
• Work type: Bachelor thesis/paper
• Organization: FE - Faculty of Electrical Engineering
• Year: 2023
• PID: 20.500.12556/RUL-149349
• COBISS.SI-ID: 166244355
• Publication date in RUL: 06.09.2023

KRANJEC, Matej, 2023, Preprost videonadzorni obrazni biometrični sistem za domačo rabo [online]. Bachelor’s thesis. [Accessed 17 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=149349

Secondary language

• Language: English
• Title: Simple Video Monitoring Facial Biometric System for Home Use

Abstract

The aim of this thesis is to develop a low-cost, simple and unobtrusive surveillance system that uses video analysis for real-time face recognition and tracking and requires only a camera and a Raspberry Pi to operate. The aim of the thesis is to develop an advanced system that will be able to detect faces in videos and recognise them based on a pre-learned face recognition model. The system is designed for home security and notification of unauthorised entry. Such a system has a number of important practical applications. Its main task is to improve security and surveillance in different environments. The system allows the recognition of persons appearing in a video feed, which is crucial for restricting unauthorised access to certain premises. This increases the level of security and reduces the risk of unauthorised access.

• Keywords: Security sistem, biometrics, face detection, Haar, LBP