Analyze on fingerprint devices for motorcycle starter and tracking system using IoT

Mohamad Noor, Muhammad Kamal (2021) Analyze on fingerprint devices for motorcycle starter and tracking system using IoT. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full Text) Analyze on fingerprint devices for motorcycle starter and tracking system using IoT.pdf - Submitted Version Download (2MB)

Abstract

Fingerprint identification is one of the most top and popular publicized biometrics scanners. This project proposed developing a new solution based on a biometric identification and tracking system that will help motorcycle riders. Several types of fingerprint sensor are tested, such as the R307 optical sensor, R503 capacitive sensor and GT-521F32 optical sensor models. Different between the fingerprint sensor is depends on few factors such as sizing, power usage, etc. Analysis is made from the testing simulation using manufacturing software to identify the detail of the fingerprint sensor. The system can also track the motorcycle using a GPS module at any time, day or night. A fingerprint scanner will store up to five different fingerprint patterns from the same or another individual to start the motorcycle engine. Users can monitor their motorcycle using the internet of things (IoT) application on the smartphone for the tracking system. The system is a friendly interface because the user can choose to turn on the motorcycle using a key or smartphone and then start the engine using a fingerprint. Also, in real-time user can track their motorcycle if got stolen. Multiple sensors such as a Wi-Fi module, fingerprint module, and GPS module are integrated into the system's Arduino microcontroller. Due reduce the motorcycle theft cases in Malaysia, this system will provide a basic idea to create such an excellent security system for the next generation.

Actions (login required)

View Item