According to census and statistics department of Sri Lanka, more than 30,000 accidents occurred from 2013 to 2019. More than two thousand are fatal in this time-period. When considering the top 10 causes of deaths in Sri Lanka, road accidents is at 10th place. Drink and drive, fatigue, drowsiness, distracted driving and driving without a valid license are root causes to these accidents. 20% of the accidents are caused by the drivers without a valid driving license. Currently there is no automated system built using IoT to verify driver’s license. A system to check drowsy driving, distracted driving and driver intoxication is also lacking in the society. By analyzing the data, smart license detection and accident prevention system was proposed to identify and validate driver’s license using RFID. The proposed system also facilitates sub-systems to check driver’s drowsiness, fatigue, alcohol level and driver distracted or not using Raspberry Pi camera module based on computer vision using TensorFlow Lite. An initialized sub-system detects the intensity of the brake pedal being engaged using pressure sensor. The system analyzes the pressure and indicate the intensity level accordingly using the brake light brightness. While these sub systems reduce the probability of occurring an accident, airbag detection sub system reduce the fatality rate of an accident by detecting the deployment of airbags and informing the nearest police station and hospital about an accident using GSM module and SMS Gateway API. The proposed system will reduce the number of accidents occurring throughout the year.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    License Detection and Accident Prevention System


    Beteiligte:
    Dewmin, P.D.R (Autor:in) / Yapa, P.S.H (Autor:in) / Lokuge, S.D. (Autor:in) / Pemadasa, M.G.N.M. (Autor:in) / Amarasena, Nelum (Autor:in)


    Erscheinungsdatum :

    09.12.2022


    Format / Umfang :

    917806 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ACCIDENT PREVENTION SYSTEM, ACCIDENT PREVENTION DEVICE, AND ACCIDENT PREVENTION METHOD

    AOKI MASARU / KAJIWARA YASUHIRO / TAKAZAWA KAZUHIRO et al. | Europäisches Patentamt | 2015

    Freier Zugriff


    ACCIDENT PREVENTION DEVICE, ACCIDENT PREVENTION METHOD, AND ACCIDENT PREVENTION PROGRAM

    TSUJIMOTO KAZUAKI | Europäisches Patentamt | 2018

    Freier Zugriff

    NOTIFICATION SYSTEM FOR ACCIDENT DANGER ZONE DETECTION AND ACCIDENT PREVENTION

    CHOI SEUNG UK | Europäisches Patentamt | 2020

    Freier Zugriff

    ACCIDENT PREVENTION SYSTEM AND VEHICLE EQUIPPED WITH ACCIDENT PREVENTION SYSTEM

    KIEHNE BRUCE LEIGH | Europäisches Patentamt | 2017

    Freier Zugriff