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ISSN: 2321-9653
Estd : 2013

Ijraset Journal For Research in Applied Science and Engineering Technology

A Review Paper on Anti Sleep Alarm for Drawsiness Detection to Vehicle Drivers

Authors: Vivekananda Thakre, Vanshika Bahadure, Nandini Rathod , Sahil Khobragade , Yashkumar Baghele , Rushikesh Raut

DOI Link: https://doi.org/10.22214/ijraset.2025.73122

Certificate: View Certificate

Abstract

Drowsy driving is a major cause of road accidents worldwide, often resulting in serious injuries and fatalities. The \"Anti-Sleeping Alarm for Drivers\" project offers a practical and effective solution to this issue by continuously monitoring the driver\'s alertness and providing timely warnings when signs of fatigue are detected. The system uses sensors such as infrared cameras or eye-tracking technology to identify indicators like frequent blinking, drooping eyelids, or head nodding—common symptoms of sleepiness. Once these signs are recognized, the system immediately activates an alarm to alert the driver, encouraging them to refocus or take a necessary break. Designed to be simple, non-intrusive, and easy to install, the system can be integrated into a wide range of vehicles, from private cars to commercial trucks. It also allows customization of the alert type to suit driver preferences. Beyond preventing accidents, the system promotes awareness about the risks of drowsy driving by providing real-time feedback. This technology not only enhances driver safety but also contributes to the overall protection of passengers and other road users, making it a valuable and accessible tool for improving road safety.

Introduction

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Conclusion

The Anti-Sleeping Alarm for Drivers project serves as an important safety measure aimed at reducing accidents linked to driver fatigue. It identifies early signs of tiredness, including changes in eye activity and facial cues, and notifies the driver when they are too drowsy to drive safely. By using a straightforward yet reliable alert mechanism, the system helps drivers stay attentive and lowers the chances of fatigue-related incidents. It relies on facial detection or similar tracking methods to recognize drowsiness and promptly triggers a warning, prompting the driver to pause and rest. This project highlights how technology can enhance traffic safety and opens up possibilities for future integration with advanced driver-assistance systems (ADAS). Adopting such technologies can significantly decrease the number of crashes caused by sleepy driving.

References

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Paper Id : IJRASET73122

Publish Date : 2025-07-11

ISSN : 2321-9653

Publisher Name : IJRASET

DOI Link : Click Here

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