Εφαρμογή Android σε συνδυασμό με custom object detection μοντέλο για αναγνώριση και καταγραφή ρυθμιστικών πινακίδων σήμανσης

Δημητριάδης, Αλέξανδρος

Android Application combined with custom object detection model for recognition and registration of regulatory traffic signs

Bachelor Dissertation

Author

Δημητριάδης, Αλέξανδρος

Date

2024-10

Abstract

This paper presents the development of an Android application designed to recognize regulatory road signs and display them in an interactive map interface. The app leverages the device's camera to capture images of regulatory road signs in real-time, using a convolutional neural network (CNN, MobileNet2) for accurate sign recognition. Once a sign is recognized, the app tags its geographic location and displays it on an embedded map, allowing users to visualize regulatory signs in their area. This tool aims to enhance driver awareness and road safety by providing an interactive real-time traffic sign map.

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/16886
http://dx.doi.org/10.26267/unipi_dione/4308

Collections

Τμήμα Πληροφορικής

Show full item record

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