Enhancing Road Safety with IoT-Based Smart Alert Scheme for Drowsy Driver Recognition

The term "Internet of Things" (IoT) refers to a network that allows various physical items, such as sensors, connecting devices, motherboards, etc., to exchange data amongst themselves without the need for human intervention. On a global scale, drowsy driver identification is perhaps the most important technology for preventing many traffic accidents. The goal is to develop an alert system that can detect when a motorist is becoming too sleepy and take appropriate action when necessary. The human body experiences lethargy for a variety of reasons, but it is a normal occurrence. Accidents may easily happen, therefore it's important to have a reliable alarm system in place. Based on the notion of eye blinking, we calculate the VSP using the EAR and the distance of the eye. This allows us to create a system that alerts for sleepy drivers. Appropriate methods for eye identification also make use of face land mark algorithms. With the use of a Raspberry Pi monitoring system, an IoT module is able to send a warning message to the driver when driver weariness is detected. This message includes the potential effect of a collision, the vehicle's position, and the ability to notify via voice speaker.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911364
Citations
1
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

Enhancing Road Safety with IoT-Based Smart Alert Scheme for Drowsy Driver Recognition

K Venkadeshwaran, D. Nirmala, D. Anandhasilambarasan, Rajat Saini et al.
1 citations
IoT and GPS-based Vehicle Safety Systems
0.21
article

Enhancing Road Safety with IoT-Based Smart Alert Scheme for Drowsy Driver Recognition

K Venkadeshwaran, D. Nirmala, D. Anandhasilambarasan, Rajat Saini, Gopal Kumar Deshmukh, Mukul Mishra
article en
1 citations

Abstract

The term "Internet of Things" (IoT) refers to a network that allows various physical items, such as sensors, connecting devices, motherboards, etc., to exchange data amongst themselves without the need for human intervention. On a global scale, drowsy driver identification is perhaps the most important technology for preventing many traffic accidents. The goal is to develop an alert system that can detect when a motorist is becoming too sleepy and take appropriate action when necessary. The human body experiences lethargy for a variety of reasons, but it is a normal occurrence. Accidents may easily happen, therefore it's important to have a reliable alarm system in place. Based on the notion of eye blinking, we calculate the VSP using the EAR and the distance of the eye. This allows us to create a system that alerts for sleepy drivers. Appropriate methods for eye identification also make use of face land mark algorithms. With the use of a Raspberry Pi monitoring system, an IoT module is able to send a warning message to the driver when driver weariness is detected. This message includes the potential effect of a collision, the vehicle's position, and the ability to notify via voice speaker.

Jain University (IN), Shri Venkateshwara University (IN), Karpagam Academy of Higher Education (IN), Chitkara University (IN)
Climate action
Openalex Percentile: Top 48%
IoT and GPS-based Vehicle Safety Systems
0.21
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Enhancing Road Safety with IoT-Based Smart Alert Scheme for Drowsy Driver Recognition — K Venkadeshwaran, D. Nirmala, et al. · (2024) | TGRS Research Map | TGRS