The use of deep learning algorithms for vehicle detection and speed estimate in traffic surveillance systems is investigated in this research study. Convolutional Neural Networks (CNNs) are the main tool used in this study to solve the problems related to precise and timely monitoring of vehicle movement. By improving the effectiveness and dependability of current systems, the suggested approach hopes to promote traffic management for smart transportation.


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    Title :

    Vehicle Detection and Speed Estimation Using Deep Learning


    Contributors:


    Publication date :

    2024-10-19


    Size :

    348528 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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