Reach the Medical Support to Accidental Vehicle by using IoT with MEMS Sensor

This paper proposes a novel system to enhance the efficiency of medical emergency services during road accidents. The increasing number of accidents due to reckless driving, drunk driving, and driver negligence necessitates a more effective way to respond to these incidents promptly. The current system often faces delays in informing the ambulance and police authorities, which may lead to severe consequences for the victims. To address this issue, the paper suggests integrating sensors in vehicles to monitor critical data like displacement, location, and chassis number using a Global Positioning System (GPS) device. This information would be shared through the Internet of Things (IoT) to a control center, allowing them to dispatch the necessary emergency response units to the accident site swiftly. The proposed system utilizes a gyro sensor (MEMS sensor) to detect angle changes between 45° and 315° and a vibration sensor that activates at a collision impact frequency of 90 Hz or more. This system could potentially serve as a reliable addition to the safety features in vehicles manufactured in India, ensuring better accuracy in accident detection and reporting. In conclusion, this paper presents a valuable concept to improve medical emergency services during road accidents by implementing a smart vehicle-based system. The integration of sensors and IoT technology can significantly reduce response time and save lives by providing immediate assistance to victims in need.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
Machine Learning in Bioinformatics
Type
article
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article

Reach the Medical Support to Accidental Vehicle by using IoT with MEMS Sensor

PhilPapers (PhilPapers Foundation)
Machine Learning in Bioinformatics
article

Reach the Medical Support to Accidental Vehicle by using IoT with MEMS Sensor

article en

Abstract

This paper proposes a novel system to enhance the efficiency of medical emergency services during road accidents. The increasing number of accidents due to reckless driving, drunk driving, and driver negligence necessitates a more effective way to respond to these incidents promptly. The current system often faces delays in informing the ambulance and police authorities, which may lead to severe consequences for the victims. To address this issue, the paper suggests integrating sensors in vehicles to monitor critical data like displacement, location, and chassis number using a Global Positioning System (GPS) device. This information would be shared through the Internet of Things (IoT) to a control center, allowing them to dispatch the necessary emergency response units to the accident site swiftly. The proposed system utilizes a gyro sensor (MEMS sensor) to detect angle changes between 45° and 315° and a vibration sensor that activates at a collision impact frequency of 90 Hz or more. This system could potentially serve as a reliable addition to the safety features in vehicles manufactured in India, ensuring better accuracy in accident detection and reporting. In conclusion, this paper presents a valuable concept to improve medical emergency services during road accidents by implementing a smart vehicle-based system. The integration of sensors and IoT technology can significantly reduce response time and save lives by providing immediate assistance to victims in need.

PhilPapers (PhilPapers Foundation)
Good health and well-being
Openalex Percentile: Top 50%
Machine Learning in Bioinformatics
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