Real-Time Detection of and Protection Against Two-Wheeler Theft Using Facial Recognition and IoT Notifications
Year: 2025
Type: article
Abstract: As motorcycles and scooters are portable and widely used, two-wheeler theft has grown to be a serious security issue. Because vibration-based alarms and traditional locks are easily defeated, a more intelligent and robust solution is needed. The paper delivers a Real-Time Two-Wheeler Anti-Theft Detection and Protection System that integrates owner notifications via the Internet of Things (IoT), biometric verification, and deterrent techniques. The main controller is a Raspberry Pi 3 Model B, which is connected to an electrical shock unit, buzzer, relay, and Pi camera. By using facial recognition, the technology makes sure that only riders with authorization can start the two-wheeler.The motorized start mechanism is only activated upon successful verification, assuring that only authorized persons are able to operate the vehicle. The device sends real-time notifications and photographs to the owner via an Internet of Things-based communication network, and it also activates deterrent measures like the buzzer and electrical shock and sends messages to owner's mobile with live tracking in the case of tampering or unauthorized access. A trustworthy reliable answer for modern two-wheeler protection concerns, this intelligent and automated system offers proactive theft detection, quick reaction, and safe vehicle access.
Authors: J. Anitha, Sugha Sri S. G. S., Swetha T., Thenmozhi U.
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4416534276