Ανάπτυξη ενός ολοκληρωμένου συστήματος αυτοματοποιημένης αναγνώρισης πινακίδων κυκλοφορίας οχημάτων ως ενσωματωμένη λύση μηχανικής μάθησης σε εφαρμογή Android

Λεονταρίδης, Σπυρίδων

Automatic license plate recognition system development as an Android on-device ML application

Master Thesis

Author

Λεονταρίδης, Σπυρίδων

Date

2022-10

Abstract

In the context of this master's thesis, an integrated system of automated license plate recognition (ALPR) has been developed and integrated into an application for the Android operating system. Through the application, users can declare the registration numbers of vehicles they are interested in and are looking for any reason (theft, hit and run after car accident, etc.), to be notified if any of them are detected, to scan in real-time the license plates of passing vehicles, as well as refer back to their scan logs, using spatio-temporal criteria. In addition, capability of processing and analyzing the collected data is foreseen, aiming drawing conclusions, which will allow the more efficient allocation of available resources (human resources and devices), and the prediction of more likely positions of future events. The application was developed in Java and Kotlin programming languages, while at the same time, technologies such as Google's on-device ML (machine learning) were used to detect and recognize license plates. Finally, the application is supported by a NoSQL database (MongoDB) and appropriate Web Services, developed in Java Spring Boot environment.

Postgraduate Studies Programme

Πληροφορική

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/14908
http://dx.doi.org/10.26267/unipi_dione/2330

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα