This paper presents an innovative approach for improving driver convenience and safety by combining Artificial Intelligence (AI) and Internet of Things (IoT) with computer vision techniques like OpenCV. By using intelligent automation, the suggested system, termed the IoT-based Car Driver Assistance System using Computer Vision and Machine Learning, seeks to both enhance and reduce potential driving-related risks. A camera and sensor suite are installed on the dashboard of the vehicle as part of the system design to enable real-time data collection and processing. By utilizing face recognition algorithms, the system begins by confirming the driver’s identification prior to vehicle activation, which improves security. The system always keeps a watch on the driver’s condition, looking for indications of drowsiness while operating and sending out alerts in a timely manner to help avoid collisions. The technology improves situational awareness by detecting and alerting the driver to approaching obstacles on the road, helping the driver avoid potentially dangerous situations. The technology also facilitates hands-free driving by utilizing hand gesture detection to provide seamless control over in-car audio operations such as track selection and volume adjustment. Call management is integrated with gesture recognition, enabling drivers to use hand gestures to accept or reject incoming calls. The system aims to improve the driving experience by utilizing facial recognition and mood detection to identify the driver’s emotional state and provide tailored Spotify music choices. By recognising traffic signals and lane changes, the technology helps drivers maintain lane discipline, which improves road safety and encourages adherence to traffic laws. In order to lessen the difficulties of parking in crowded areas, the system also offers intelligent parking assistance. With a full feature set that gives drivers more control, awareness, and efficiency while driving, the proposed IoT-based Car Driver Assistance System using Computer Vision and Machine Learning is a major leap in vehicle safety and convenience.


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    Title :

    IoT-based Car Driver Assistance System using Computer Vision and Machine Learning


    Contributors:


    Publication date :

    2024-05-03


    Size :

    457805 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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