In the current era of automation, vehicle automation plays a vital role in the current technological evolution. Vehicle automation and detection mechanisms are attracting so many research enthusiasts in this period. This research work has utilized this opportunity to play our role by creating our project for Surveillance-Based Spotting and Categorization of Automobiles. The main focus of our project lies in the detection and categorization of vehicles that are in motion and in still positions. Though there are numerous methods of vehicle detection using sensors, microchips, and many other technologies, all of these tend to be vulnerable to environmental factors that affect their longevity and increase the cost of their implementation as well as their maintenance. To avoid these additional costs, a computer vision technology that uses a vision-based detection mechanism is used to detect the vehicles from the real-time video input with the help of image fragmentation and pattern recognition. The goal of this project is to provide a feasible and cost-effective system to spot and categorize various kinds of automobiles using OpenCV and YOLOv3.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Surveillance Based Spotting and Categorization of Automobiles


    Beteiligte:
    V, Priyadharshini K (Autor:in) / S, Aswanthi D (Autor:in) / G, Nithya Bala (Autor:in) / X, Sheela (Autor:in) / K, Subhanu (Autor:in)


    Erscheinungsdatum :

    25.05.2022


    Format / Umfang :

    2093276 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Categorization of On Road Automobiles using Deep Learning Approach

    J, Aiswarya / K, Veerappan / K, Mariammal | IEEE | 2022


    Onboard surveillance system for automobiles using image processing LSI

    Furukawa, K. / Okada, R. / Taniguchi, Y. et al. | IEEE | 2004


    Maui Space Surveillance System Satellite Categorization Laboratory

    Deiotte, R. | British Library Conference Proceedings | 2006


    Technique for the Measurement of Sound Intensity and Its Utilization in Spotting the Noise Sources within Automobiles

    Li, J. / Yu, J. / American Society of Civil Engineers | British Library Conference Proceedings | 2010


    TAP1.06 Onboard Surveillance System for Automobiles using Image Processing LSI

    Furukawa, K. / Okada, R. / Taniguchi, Y. et al. | British Library Conference Proceedings | 2004