Improving Road Safety with Real-Time Monitoring: A Drowsiness Detection System Utilizing IR Sensors and Arduino Technology

Authors: Dikshant Ronak Patel, Krishna Mitesh Patel, Dhvani Kamleshbhai Patel, Vipul M. Dabhi, Khyati Zalawadia, Ramizraja Shethwala

Country: India

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Abstract: India, as a developing nation, has experienced a sign if- I cant increase in its population over the past decade,leading to a corresponding rise in the number of vehicles on the roads. Despite advancements in infrastructure, the surge in vehicle numbers has exacerbated safety concerns .Recognizing the axiom that ”national health precedes national wealth,” road safety emerges as a critical public health issue requiring prioritized measures. Drowsy driving stands out as a major contributor to severe traffic accidents. Implementing a prototype vehicle safety technology to detect driver drowsiness becomes imperative in averting accidents caused by driver fatigue. One feasible technical approach to implementing such a system involves utilizing vision- based methods. Among those most susceptible to falling asleep behind the wheel are truck drivers, company vehicle operators, and shift workers. When a driver succumbs to sleep while driving, they lose control of their vehicle, often leading to collisions with other vehicles or stationary objects. The proposed drowsiness detection system monitors the driver’s eye movements and blinking patterns at regular intervals during driving. When necessary, it triggers an audible alarm within the vehicle to alert the driver. Drowsiness typically results from in sufficient sleep and fatigue, making it crucial to detect and address such instances promptly. The system identifies drowsiness by monitoring the duration of eye closure, triggering a message if the eyes remain shut for more than four seconds. Thousands of fatalities or serious injuries occur annually due to drivers dozing off at the wheel. To realize this system, an IR sensor and Arduino technology will be utilized.The IR sensor determines the driver’s wakefulness ,while Arduino facilitates communication between the sensor and the alarm system. According to statistics from the National Highway Traffic Safety Administration, approximately 100,000 police-reported crashes annually involve drowsy driving. Drowsiness ranks among the primary causes of accidents, alongside factors such as intoxicated driving and distractions.

Keywords: Drowsiness Detection, Prototype, Vehicle safety, Eye blinking monitoring, Audible alarm, 4 seconds threshold, Road safety

Paper Id: 230534

Published On: 2024-03-23

Published In: Volume 12, Issue 2, March-April 2024

Cite This: Improving Road Safety with Real-Time Monitoring: A Drowsiness Detection System Utilizing IR Sensors and Arduino Technology - Dikshant Ronak Patel, Krishna Mitesh Patel, Dhvani Kamleshbhai Patel, Vipul M. Dabhi, Khyati Zalawadia, Ramizraja Shethwala - IJIRMPS Volume 12, Issue 2, March-April 2024.

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