Accident Identification And Alerting System Using MSP430

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Year : 2025 | Volume :16 | Issue : 01 | Page : –
By
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Rahul Bamane,

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Saurabh Dalvi,

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Rudali Joshi,

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Vanshita Kadam,

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Prof M. A. Mohite,

  1. Student, Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil, Maharashtra, India
  4. Student, Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil, Maharashtra, India
  5. Professor, Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil, Maharashtra, India

Abstract

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The “Accident Identification and Alerting System using MSP430” is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle’s movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to predefined emergency contacts and provides crucial information about the accident’s location using GPS integration. This project addresses the critical need for rapid accident response, potentially saving lives and reducing the severity of injuries, making it a technologically advanced solution to improve road safety and emergency response in today’s fast-paced world. Road accidents are a major source of death globally, thus it’s critical to identify and respond to them quickly to save lives. This article describes an Accident Identification and Alerting System (AIAS) that makes use of the MSP430 microprocessor, which is renowned for its excellent efficiency and low power consumption. To identify mishaps, pinpoint the precise location, and rapidly notify emergency personnel, the system combines sensors, GPS, and GSM modules. This technology increases victims’ chances of survival and speeds up response times by automating accident reporting.

Keywords: MSP430 microcontroller, GPS modules, GSM Module, RFID readers, deep learning, V2V communication, deep learning.

[This article belongs to Journal of Control & Instrumentation (joci)]

How to cite this article:
Rahul Bamane, Saurabh Dalvi, Rudali Joshi, Vanshita Kadam, Prof M. A. Mohite. Accident Identification And Alerting System Using MSP430. Journal of Control & Instrumentation. 2025; 16(01):-.
How to cite this URL:
Rahul Bamane, Saurabh Dalvi, Rudali Joshi, Vanshita Kadam, Prof M. A. Mohite. Accident Identification And Alerting System Using MSP430. Journal of Control & Instrumentation. 2025; 16(01):-. Available from: https://journals.stmjournals.com/joci/article=2025/view=0

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Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 10/09/2024
Accepted 07/01/2025
Published 15/01/2025
177