Smart Alert System for Drowsy Driver Detection System using AI

Authors

  • Prof. Amit Bhosale, Prof. Sagar Patole, Prof. Ms. Namrata Mohite PES’s College of Engineering, Phaltan

Keywords:

machine learning technique, driver attentiveness, AI-based smart alert system

Abstract

Drowsy driving is a significant cause of road accidents worldwide, posing a serious threat to driver safety and public well-being. To address this issue, this paper introduces an AI-based smart alert system designed to detect drowsy drivers and provide timely warnings to prevent potential accidents. The proposed system utilizes advanced machine learning techniques to analyze driver behavior, facial expressions, and physiological signals to accurately identify signs of drowsiness. By leveraging real-time data processing and intelligent algorithms, the system can promptly detect drowsiness indicators and activate appropriate alerts, ensuring driver attentiveness and mitigating potential risks. Experimental results demonstrate the effectiveness and reliability of the proposed AI-based smart alert system in enhancing road safety and reducing the occurrence of accidents due to drowsy driving

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Published

2023-07-15

Issue

2023: NCETSAE - July

Section

Articles

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How to Cite

Prof. Amit Bhosale, Prof. Sagar Patole, Prof. Ms. Namrata Mohite. (2023). Smart Alert System for Drowsy Driver Detection System using AI. International Journal of Innovations in Engineering Research and Technology, 276-279. https://repo.ijiert.org/index.php/ijiert/article/view/3754