Vehicle Accident Alert System Using LABVIEW

Vijay, Dig; Chikyal, Neetu

doi:10.1109/esci50559.2021.9396974

2021 International Conference on Emerging Smart Computing and Informatics (ESCI) 2021

DOI: 10.1109/esci50559.2021.9396974

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Vehicle Accident Alert System Using LABVIEW

Dig Vijay¹,

Neetu Chikyal²

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2023

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Cited by 2 publications

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“…The purpose is to enable safe Source: Khaliq et al (2018) and durable transmission between Connected Intelligent Transportation Systems (C-ITS) elements (vehicles, infrastructural facilities) by leveraging the Secure and Safe Internet of Things (SerIoT) functionality of the software to identify and mitigate potential network threats. Vijay and Chikyal (2021) proposed an embedded framework that could be transmitted in a vehicle that automatically communicates disaster benefits in case of any collision. This was done by employing an accelerometer sensor to recognise sudden acceleration and amalgamated correspondence outlines to locate the car and instruct the emergency authorities for an immediate rescue operation.…”

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confidence: 99%

Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model

Sowjanya,

Krishna,

Madhav

et al. 2023

International Journal of Healthcare Information Systems and Informatics

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In this paper, the authors used LabView to design a sensor-based module and analyse it for an accident prevention system. For the purpose of forecasting potential combinations of accident occurrence, various sensor nodes are integrated into a single system. A LabView-based simulation has been performed to address additional potential conditions after a real-time hardware module with a constrained number of sensors was used to examine various conditions. With the help of an IoT interface, this design will allow a new model in the vehicular communication system to identify different accident occurrences and provide the relevant information to the underprivileged. The proposed model will cover all potential combinations, provide comparative analysis between low- and high-end vehicles, and provide a strategic framework for IoT-enabled vehicular communication systems in the future.

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mentioning

confidence: 99%

Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model

Sowjanya,

Krishna,

Madhav

et al. 2023

International Journal of Healthcare Information Systems and Informatics

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Intelligent Accident Detection and Vehicle Security for Two Wheelers

David Sherry H,

Manoj Kumar D,

Ritchie Saul Daniel R

et al. 2023

JUCCT

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Quick medical assistance in case of accidents aid in saving the lives. The main aim of this developed system is to alert the nearby hospital about the accident and to provide immediate medical aid. The system has various sensors such as accelerometer, vibration and tilt, to identify the variations in the vehicle. The system makes decision based on the value of the sensors and sends the information through smartphones connected to the Raspberry pi module. The vehicle security system uses a fingerprint recognition for ignition of vehicle engine to ensure the protection of the vehicle from unauthorized access.

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Vehicle Accident Alert System Using LABVIEW

Cited by 2 publications

References 2 publications

Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model

Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model

Intelligent Accident Detection and Vehicle Security for Two Wheelers

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