The number of vehicles is steadily rising right now, which causes an increase in traffic accidents and crime. The younger generations are still engaging in reckless driving, despite the fact that the government has implemented legislation and traffic regulations to lower the number of accidents and fatalities on the roads. As a result, it is critical to implement. An automated system to keep a watch on the rapid vehicles and take subsequent actions. The primary goal of the study is to develop the system in practice using the kNN, Pytesseract that is currently available. This model first detects the presence of cars, then calculates their speeds, and lastly decodes the number plates of the fast-moving automobiles. The report offers an analysis of the effectiveness of the implemented method via comparisons using various video datasets.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time Vehicle Count, Speed Estimation and Number Plate Detection using CCTV Footage


    Contributors:


    Publication date :

    2023-04-27


    Size :

    1042956 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    CCTV Navigation apparatus and method for providing CCTV footage on plural paths

    CHOI JUNG WOON | European Patent Office | 2017

    Free access

    CCTV VEHICLE NUMBER RECOGNITION SYSTEM USING CCTV

    SEO YONG UK | European Patent Office | 2021

    Free access

    CCTV CCTV video-based moving vehicle speed estimation method

    JANG SOO HYUN / SHIN DAE KYO / YOON SANG HUN et al. | European Patent Office | 2023

    Free access

    CCTV CCTV video-based moving vehicle speed estimation method

    European Patent Office | 2023

    Free access