Smart Helmet with Automatic Emergency Alert Accident Detection System

Abstract

Delay of emergency services and lack of instantaneous reporting of accidents is the main contributor to the serious injuries or death in two-wheeler accidents. A Smart Helmet system has been created to solve this acute problem through intelligent detection of accidents during the accident and automatic notification of emergency services. The helmet has an Inertial Measurement Unit (IMU), an accelerator and a gyroscopic device that constantly reads the movement of the riders and matches any abrupt impact or unusual movement patterns that are signs of a collision. When an accident happens, the system sends the live position of the rider through SMS to a GSM/GPS receiver that triggers an automatic emergency call to predefined contacts or closest police department. The system has a cancel window to avoid false alarms when the bike is suddenly braking or making a minor slip. The rider is free to remain on alert. In addition, it has machine learning (TinyML) that improves the precision of the detection of various motion patterns, including actual collisions, potholes, or regular riding to improve false positives. This use of AI will make sure that there are real accidents that cause the alarm. The Smart Helmet is an IoT-enabled safety solution that was designed as a low-cost solution to safety, guaranteeing not only the speed of medical help but also making roads smarter.