Year: 2025
Type: article
Abstract: : The integration of sensor technologies in personal safety devices is transforming how we approach risk management in various high-risk environments. The Smart Helmet with Sensor Fusion and Mobile Connectivity provides an advanced solution for enhancing rider safety by leveraging multiple sensors like accelerometers, gyroscopes, GPS, and communication modules. This helmet detects critical events, such as accidents or falls, using data from the MPU6050 sensor (for motion tracking) and GPS data from the NEO-6M to pinpoint precise locations of incidents. Additionally, it communicates with emergency contacts via the SIM800L module to provide real-time crash notifications. Flutter-based mobile applications enable seamless connectivity between the helmet and user smartphones, offering features such as live data tracking, including speed, acceleration, and distance travelled. This system uses sensor fusion techniques to process real-time data from various sources, ensuring accurate event detection and prompt alerts. This technology is ideal for bikers, construction workers, and others working in high-risk settings, providing both immediate safety responses and long-term health monitoring.
Author: Dr. John Prakash Veigas
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410857101