Predictive Analytics for Motorcycle Theft Detection and Recovery

Abstract

Transportation is an integral component of our daily lives, and it is becoming increasingly common for people in the Philippines to rely on vehicles, such as motorcycles, as their primary mode of transportation. The prevalence of motorcycle theft has risen concurrently with the growing number of motorcycle users over the years. To address this issue, a system has been devised for the effective prevention and retrieval of stolen motorcycles in a timely and efficient manner. The user of this system is alerted through an alert notification when the motorcycle has been moved over a considerable distance or has been stolen. Additionally, the user can view the current location of the motorcycle, turn off the engine, and capture an image of the thief. The system is composed of two parts: hardware and software modules. The hardware component includes a micro-controller, GSM, GPS, and a camera. The motorcycle serves as the primary controller of the entire system and is also responsible for its operation. According to the usability and functionality evaluation conducted, it was discovered that most users strongly agreed on the usefulness of the system.