<b> Drive Guard for Smart Vehicle Accident Prevention and Detection</b>

The <i>Vehicle Accident Prevention System</i> is designed to enhance road safety and reduce accidents by integrating multiple smart sensors and communication modules. This research focuses on developing a real-time monitoring system that detects unsafe driving conditions such as alcohol consumption, drowsiness, vehicle imbalance, and obstacles on the road. The system utilizes an <b>ESP32 microcontroller</b> as the central unit, which collects input from various sensors including the <b>IR sensor</b>, <b>alcohol sensor</b>, <b>eye blink sensor</b>, and <b>accelerometer</b>.When any abnormal condition is detected, the system triggers immediate alerts and prevents the vehicle from starting or continuing operation. The <b>GSM module</b> is used to send alert messages to emergency contacts, while the <b>GPS module</b> transmits the vehicle’s real-time location for quick assistance. This combination of sensors and communication technology ensures faster response times and improved driver safety.The report details the design, working principle, and implementation of each hardware component, along with circuit explanations and software integration. It highlights how the proposed system can minimize accidents, promote responsible driving, and contribute to the development of smart and safe transportation under the <b>Automotive Safety Engineering</b> domain.

Publication Details

Journal
Figshare
Published
2025-10-15
DOI
https://doi.org/10.6084/m9.figshare.30359992
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Drive Guard for Smart Vehicle Accident Prevention and Detection

Figshare
IoT and GPS-based Vehicle Safety Systems
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Drive Guard for Smart Vehicle Accident Prevention and Detection

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Abstract

The <i>Vehicle Accident Prevention System</i> is designed to enhance road safety and reduce accidents by integrating multiple smart sensors and communication modules. This research focuses on developing a real-time monitoring system that detects unsafe driving conditions such as alcohol consumption, drowsiness, vehicle imbalance, and obstacles on the road. The system utilizes an <b>ESP32 microcontroller</b> as the central unit, which collects input from various sensors including the <b>IR sensor</b>, <b>alcohol sensor</b>, <b>eye blink sensor</b>, and <b>accelerometer</b>.When any abnormal condition is detected, the system triggers immediate alerts and prevents the vehicle from starting or continuing operation. The <b>GSM module</b> is used to send alert messages to emergency contacts, while the <b>GPS module</b> transmits the vehicle’s real-time location for quick assistance. This combination of sensors and communication technology ensures faster response times and improved driver safety.The report details the design, working principle, and implementation of each hardware component, along with circuit explanations and software integration. It highlights how the proposed system can minimize accidents, promote responsible driving, and contribute to the development of smart and safe transportation under the <b>Automotive Safety Engineering</b> domain.

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Openalex Percentile: Top 51%
IoT and GPS-based Vehicle Safety Systems
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<b> Drive Guard for Smart Vehicle Accident Prevention and Detection</b> · Figshare (2025) | TGRS Research Map | TGRS