Motorcycle Anti-Theft System: Magnet Triggered Capturing Device In Real-time with Notification Feature

In this study, an innovative motorcycle anti-theft system (with Raspberry Pi and advanced sensors) is built to prevent the increasingly common problem of motorcycle theft. In the face of the growing prevalence of such crimes, the market had increasingly become ripe since security devices rarely provided early alerts and complete monitoring. This research aimed to prevent and detect unauthorized access, which will photographically record such an event and send real-time notifications to motorcycle owners. This will significantly affect the reclamation of said motorcycle and lessen its odds of ever being stolen. The Raspberry Pi uses a magnetic reed switch, a camera module, and a buzzer, forming a responsive and user-friendly prototype. When products are activated by tampering, the system takes pictures of the environment. It sends an alert message to the product owner through a mobile app, notifying him of the possible tampering. Experiment results suggest that this system distributed alerts promptly and effectively increased motorcycle security by detecting theft attempts. This indicates its viability, as this anti-theft solution can help fill an area of space among traditional security methods and modern technology advances in motorcycle defense, creating an overwhelming and thorough method. The study also demonstrates that further augmentation with features such as GPS tracking for car location and cloud storage of captured images can be achieved. This shows us that new technology can equip security systems with real world solutions and IoT applications and make motorcycles safer

Publication Details

Journal
International Journal of Advanced Trends in Computer Science and Engineering
Published
2025-04-08
DOI
https://doi.org/10.30534/ijatcse/2025/021422025
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
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article

Motorcycle Anti-Theft System: Magnet Triggered Capturing Device In Real-time with Notification Feature

International Journal of Advanced Trends in Computer Science and Engineering
Vehicle License Plate Recognition
article

Motorcycle Anti-Theft System: Magnet Triggered Capturing Device In Real-time with Notification Feature

article en

Abstract

In this study, an innovative motorcycle anti-theft system (with Raspberry Pi and advanced sensors) is built to prevent the increasingly common problem of motorcycle theft. In the face of the growing prevalence of such crimes, the market had increasingly become ripe since security devices rarely provided early alerts and complete monitoring. This research aimed to prevent and detect unauthorized access, which will photographically record such an event and send real-time notifications to motorcycle owners. This will significantly affect the reclamation of said motorcycle and lessen its odds of ever being stolen. The Raspberry Pi uses a magnetic reed switch, a camera module, and a buzzer, forming a responsive and user-friendly prototype. When products are activated by tampering, the system takes pictures of the environment. It sends an alert message to the product owner through a mobile app, notifying him of the possible tampering. Experiment results suggest that this system distributed alerts promptly and effectively increased motorcycle security by detecting theft attempts. This indicates its viability, as this anti-theft solution can help fill an area of space among traditional security methods and modern technology advances in motorcycle defense, creating an overwhelming and thorough method. The study also demonstrates that further augmentation with features such as GPS tracking for car location and cloud storage of captured images can be achieved. This shows us that new technology can equip security systems with real world solutions and IoT applications and make motorcycles safer

International Journal of Advanced Trends in Computer Science and EngineeringVol. 14(2)
Openalex Percentile: Top 90%
Vehicle License Plate Recognition
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