Authors :
J. Anitha; Sugha Sri S. G. S.; Swetha T.; Thenmozhi U.
Volume/Issue :
ICMST-2025
Google Scholar :
https://tinyurl.com/mw9wrahz
Scribd :
https://tinyurl.com/3f3w3kce
DOI :
https://doi.org/10.38124/ijisrt/25nov758
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.
Keywords :
Anti-Theft System , Biometric Authentication , Facial Recognition ,Global Positioning System (GPS) , Global System for Mobile Communication , Internet of Things(IoT) , Raspberry Pi , Two-Wheeler Security ,Vhecile Protection.
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.
Keywords :
Anti-Theft System , Biometric Authentication , Facial Recognition ,Global Positioning System (GPS) , Global System for Mobile Communication , Internet of Things(IoT) , Raspberry Pi , Two-Wheeler Security ,Vhecile Protection.
