Edge computing is used in intelligent transportation systems to handle data faster and with less delay. Implementing the proposed system in edge computing improves security in intelligent transportation systems. Video surveillance has played an essential role in maintaining transportation systems, security monitoring, and surveillance. In recent times, vehicles involved in crimes, theft, and violating traffic rules are on the increase. Monitoring vehicles using traditional methods is time-consuming and an exhausting process. Existing systems make use of methods which only detect and trace a particular vehicle, which is inefficient for finding and tracking multiple vehicles simultaneously. In this paper, the proposed method generates a secured road map of vehicle travel using Google Maps. The proposed approach was incorporated into the electric eye, which employs masking for color detection and YOLOV5 was used to recognize text. The frames are taken from the video and processed to obtain the vehicle’s license plate number. Localization, character, and vehicle color identification are used which helps in locating the vehicle faster.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Edge Based Intelligent Secured Vehicle Filtering and Tracking System Using YOLO and EasyOCR


    Weitere Titelangaben:

    Int. J. ITS Res.


    Beteiligte:


    Erscheinungsdatum :

    01.04.2025


    Format / Umfang :

    24 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Edge Based Intelligent Secured Vehicle Filtering and Tracking System Using YOLO and EasyOCR

    Prethi, K. N. Apinaya / Palanisamy, Satheeshkumar / Nithya, S. et al. | Springer Verlag | 2025


    Vehicle Number Plate Recognition in Intelligent Transportation System using YOLO v8 and EasyOCR

    Nalawati, Rizki Elisa / Liliana, Dewi Yanti / Iswara, Ratna Widya et al. | IEEE | 2023


    Automatic Vehicle Number Plate Detection and Recognition System using YOLOv8n and EasyOCR

    Dash, Hemanta Kumar / Swain, Subha Kanta / Subudhi, Manorama et al. | IEEE | 2024



    Improved Vehicle Detection and Tracking Using YOLO and CSRT

    Amitha, I. C. / Narayanan, N. K. | Springer Verlag | 2021