Road signs are crucial for ensuring a secure and efficient flow of traffic. Negligence in failing to perceive or incorrectly interpreting traffic signs is one of the major factors in auto accidents. The suggested technology enables the display of the traffic sign and the transmission of a speech notification to the vehicle's speaker so that it can move forward safely. The suggested method uses Convolutional Neural Network (CNN) training to help identify and categorize images of commercial signs. A voice alarm is transmitted through the speaker to alert the drivers after the system recognizes the sign. The system's primary goal is to safeguard the driver, passengers, and pedestrians.


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    Titel :

    Traffic Sign Board Recognition and Voice Alert System Using Deep Convolutional Neural Network


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Singh, Yashwant (Herausgeber:in) / Singh, Pradeep Kumar (Herausgeber:in) / Gonçalves, Paulo J. Sequeira (Herausgeber:in) / Kar, Arpan Kumar (Herausgeber:in) / Sharma, Reya (Autor:in) / Sathvika, Y. (Autor:in) / Sai Sreeja, T. (Autor:in) / Pratyusha, P. (Autor:in)

    Kongress:

    The International Conference on Recent Innovations in Computing ; 2023 ; Jammu, India October 26, 2023 - October 27, 2023



    Erscheinungsdatum :

    13.07.2024


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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