Iot-based Smart Bike And Helmet System For Automatic Accident Detection And Emergency Alert

Abstract

R Two-wheeler Accidents Often Prove Fatal Because Victims Cannot Call For Help After A Crash. Existing Approaches Such As Manual Reporting, Mobile-based Crash Apps, GPS Trackers, And Basic Helmet Sensors Are Unreliable When The Rider Is Unconscious, The Phone Is Damaged, Or The Application Is Not Activated. This Paper Proposes An IoT-enabled Smart Safety System That Combines An Accident-detecting Bike Unit With An Interactive Smart Helmet. The Bike Module Uses An Accelerometer, Gyroscope, And Vibration Sensor To Detect Sudden Impacts And Falls. When A Possible Accident Is Identified, The Helmet Initiates A Short Voice Or Button-based Confirmation With The Rider. If No Response Is Received Within A Set Time, The System Retrieves The GPS Location And Uses A GSM Module To Send An Emergency SMS To Family Members, Guardians, Or The Nearest Police Station. A Web-based Monitoring Dashboard Built Using PHP (Laravel), MySQL, And RESTful APIs Supports Administration, Rider Registration, And Accident-log Analysis. The Proposed Threshold-based Decision Algorithm Reduces False Alarms While Ensuring Rapid Emergency Response, Offering A Cost-effective And Scalable Solution To Improve Two-wheeler Road Safety.

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