Implementation of Motorcycle Security System Using Fingerprint R503
Martoni Darusman, Arisa Olivia Putri, Legenda Prameswono Pratama · Journal of Global Engineering Research and Science · 2023
Motorcycles are a widely used mode of transportation across diverse populations in both urban and rural areas. However, the increasing prevalence of motorcycle theft has become a major public concern, highlighting the urgent need for more advanced and reliable security solutions. In response, this study proposes the development of a motorcycle security system based on the Internet of Things (IoT) that integrates biometric authentication technology to enhance safety and prevent unauthorized access. The system is built using the R503 fingerprint sensor for biometric verification, the ESP32 microcontroller for processing and connectivity, and Telegram as a real-time notification medium. Additional components such as a relay module and buzzer are used to control the ignition system and provide audible alerts when unauthorized access attempts are detected. The system only grants access to users whose fingerprints have been pre-registered, ensuring personalized and secure authentication. A series of functional tests, including initialization, fingerprint recognition, and system response, were conducted to evaluate performance. Testing on five users demonstrated a high accuracy rate of 98%, with only a 2% error rate, indicating the system's reliability in real-world scenarios. Furthermore, the integration with Telegram enables remote monitoring, providing immediate alerts to users when suspicious activity occurs. These features collectively enhance vehicle safety and user convenience. In conclusion, the developed system offers a promising solution for modern motorcycle security by leveraging IoT and biometric technologies, and it has the potential to be integrated into broader smart transportation and vehicle monitoring ecosystems.