Arduino Bicycle Crash Detection

District Science and Technology Fair 2024 (CND 1)

Arduino Based Crash Detection Emergency and Safety Notification System

Abstract

The Arduino-Based Emergency Notification System addresses the critical concern of cycling safety in urban areas, particularly amid the rising number of cyclists and related accidents. This research focuses on developing a comprehensive solution to enhance cyclist safety by creating an emergency notification system that employs an Arduino platform. The system integrates an accelerometer, a GPRS+GSM module, a buzzer, and an LCD screen to detect accidents, send real-time notifications to designated emergency contacts, and provide vital information to first responders. The methodology involves designing and programming the system, conducting extensive testing to assess its effectiveness, and analyzing the response times and accuracy of the notifications. Results from the testing phase demonstrate the system's ability to accurately detect varying levels of force associated with different crash scenarios, from minor impacts to severe collisions. This research contributes significantly to the field by offering a practical solution for addressing the growing safety concerns faced by cyclists in urban environments.

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Components Used:

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Jesstonie M. Cadizal
Student Researcher


Jeffrey Galino
Research Adviser


AWARD ACHIEVED:

Second Place

Science and Innovation Expo - Individual Category

October 7, 2024


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