Journal of Control & Instrumentation

Journal of Control & Instrumentation Original Research

Accident Identification And Alerting System Using MSP430

  1. Rahul Bamane Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil
  2. Saurabh Dalvi Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil
  3. Rudali Joshi Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil
  4. Vanshita Kadam Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil
  5. M. A. Mohite Department of Electronics and Telecommunication Engineering, Gharda Institute of Technology, Dabhil

Abstract

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

  • Deep Learning
  • GPS modules
  • GSM module
  • MSP430 microcontroller
  • RFID readers
  • V2V communication

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