ENHANCING EMERGENCY RESPONSE THROUGH REAL-TIME ACCIDENT DETECTION AND NOTIFICATION

Abstract: An accident remains, a significant cause of injuries and deaths in almost all parts of the world, particularly when a prompt medical facility is denied, says the report of the Ministry of Road Transport and Highways (https://morth.nic.in/road-accident-in-india). More delays in its recognition and response saturate the headlines with unavoidable and easily controlled accidents. Available accident detection and emergency notification systems fall short of standard procedures due to delayed warnings, lack of customization of emergency contacts, and inapplicability in many unanticipated emergency scenarios.

Therefore, the proposed system intends, differently to provide an effective real-time solution that can automatically detect any kind of accident and dispatch alerts to the relevant custom emergency contacts. The system incorporates cutting-edge sensing technologies, machine learning, and user-centered design into a single innovative approach to offering timely and effective police notification. Such customization enables anyone to populate one's list of emergency contacts, rounding off its capability of a seamless application across various user preferences and circumstances by saving lives and improving outcomes in an accident scenario.

Keywords: Accident detection - emergency notification - real-time solution - machine learning - sensing technologies - user-centered design - emergency contacts - police notification - timely response - injury prevention.