SHIELD: Smart Helmet for Impact Emergency Location and Detection

SHIELD is an AI-assisted smart helmet system designed to improve rider safety during extreme sports by enabling automatic crash detection and emergency alerting. The system addresses the limitations of traditional helmets, which provide only passive protection and lack post-accident response capabilities. By combining real-time motion sensing, wireless communication, and machine-learning–based crash classification, SHIELD enhances emergency responsiveness while reducing false alarms caused by aggressive but normal riding movements.

The system integrates an inertial measurement unit (IMU), a Bluetooth Low Energy (BLE)-enabled embedded microcontroller, a rechargeable power subsystem, and a smartphone application that manages crash analysis and emergency communication. Motion data collected from the accelerometer and gyroscope are transmitted wirelessly to the mobile application, where AI-assisted classification is used to distinguish severe crash events from non-critical motion patterns. If a dangerous impact is detected and the user does not respond within a configurable cancellation window, the system automatically sends emergency notifications together with GPS location information to predefined contacts.

The mobile application provides helmet connectivity, ride monitoring, emergency-contact management, and alert-configuration features through a simple and user-friendly interface. Designed to remain lightweight, low-cost, and energy efficient, SHIELD demonstrates how embedded sensing and smartphone-assisted AI can be combined to create a practical wearable safety solution for cyclists and extreme sports athletes.

Project Details

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