Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts

Year : 2024 | Volume :02 | Issue : 02 | Page : 7-11
    By

    Jayesh Khalane,

  • Shraddha Tule,

  • Rupesh Kayande,

  • Soumitra Kulkarni,

  1. Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  2. Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  3. Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  4. Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Savitribai Phule Pune University, Pune, Maharashtra, India

Abstract

The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is activated, prompting the driver to refocus and prevent potential accidents. The Alcohol Level Indicator features a real-time alcohol level monitoring component that employs non-invasive sensors to continuously track the driver’s alcohol level. If the alcohol level exceeds the legal limit, which varies depending on local laws and regulations, the system issues warnings and, if necessary, disables the vehicle’s ignition system to prevent drunk driving. In the event of a vehicular accident, the Emergency Alert System automatically triggers an emergency alert mechanism. The device utilizes the LM35 temperature sensor, which is a compact and cost-effective integrated circuit capable of measuring temperatures ranging from –55 to 150°C. The data sources for a fusion process are not specified to originate from identical sensors. One can distinguish direct fusion, indirect fusion and fusion of the outputs of the former two. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and historical values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and
human input.

Keywords: Vehicular Accident Detection, Sensor Fusion, rescue alert System, Geo Location (GPS), temperature sensor

[This article belongs to International Journal of Solid State Innovations & Research (ijssir)]

How to cite this article:
Jayesh Khalane, Shraddha Tule, Rupesh Kayande, Soumitra Kulkarni. Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts. International Journal of Solid State Innovations & Research. 2024; 02(02):7-11.
How to cite this URL:
Jayesh Khalane, Shraddha Tule, Rupesh Kayande, Soumitra Kulkarni. Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts. International Journal of Solid State Innovations & Research. 2024; 02(02):7-11. Available from: https://journals.stmjournals.com/ijssir/article=2024/view=185476


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Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 02/09/2024
Accepted 07/09/2024
Published 25/11/2024