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A Car Security System Based on Alerting Driver Drowsiness and Monitoring the State of the Vehicle

Published: 20 August 2023 Publication History

Abstract

Accidents on the road are the primary cause of death, particularly among children and adolescents. Despite having fewer vehicles, low- and middle-income countries account for the preponderance of these fatalities. Consequently, a system that monitors vehicles and takes the necessary precautions to prevent collisions and fatalities is urgently required. This paper proposes a system of OpenCV image processing techniques to monitor the driver’s eye movements in order to prevent accidents caused by behavioral and psychological changes while driving. The main processing unit (MPU) of the system we have developed consists of Raspberry Pi, Microcontroller, and sensors. Both on day and night time, it detects driver drowsiness and alerts them with a wristband. In low-light conditions, two infrared (IR) blasters and multiple light-dependent resistors (LDR) sensors were used to accurately detect driver fatigue. During an accident, the MPU’s accident detection module will identify and send an SMS message to the vehicle owner with the vehicle’s location and data. Eventually, the local police station, fire department, and other safety agencies will be able to take immediate action. The novel aspect of this study is the combination of image processing techniques and sensors that accurately monitor driver behaviour and identify fatigue. The accident detection module of the system is also distinct and can provide emergency services with vital information in the event of an accident. If implemented, the proposed technology can enhance the safety features of cars and reduce the number of accidents caused by human error.

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  1. A Car Security System Based on Alerting Driver Drowsiness and Monitoring the State of the Vehicle

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    ICCTA '23: Proceedings of the 2023 9th International Conference on Computer Technology Applications
    May 2023
    270 pages
    ISBN:9781450399579
    DOI:10.1145/3605423
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 20 August 2023

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    Author Tags

    1. Accident Detection
    2. Driver Alert system
    3. Driver Drowsiness Detection
    4. Emergency System
    5. Image Processing
    6. Real-Time Monitoring
    7. Sensors

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