This project develops Mo-SSeS, a smart motorcycle security system using Raspberry Pi and IoT technology for real-time tracking, remote monitoring, and alerts to enhance security and deter theft.
The advancement of IoT (Internet of Things) technology has paved the way for innovative solutions to enhance motorcycle security. This project presents a Motorcycle Smart Security System utilizing a Raspberry Pi as the central controller, integrated with various components including a camera, GSM module, GPS, vibration sensor, and relays. The system provides a robust, automated, and user-friendly approach to motorcycle security. The system operates by verifying the user’s identity through facial recognition. When the ignition key is turned on, the camera captures the user's face, and the Raspberry Pi processes the image. If the face matches the authorized user, the relay activates, allowing the motor to start. However, if the face does not match, the GSM module sends an SMS alert, and a buzzer is activated to deter unauthorized access. Additionally, when the ignition key is off, the system monitors for unauthorized activity through a vibration sensor. If tampering is detected, the GSM module sends a notification, the buzzer sounds an alert, and GPS tracking provides the motorcycle’s real-time location.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
