Smart Anti-Theft Car Security System: A Real-Time IoT-Based Approach

Authors

  • P.S. Bodake Lecturer, Department of Computer Engineering, Sharad Institute of Technology Polytechnic, Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Khadija Abid Bhaldar Undergraduate Student, Department of Computer Engineering, Sharad Institute of Technology Polytechnic, Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Aadarsha Sachin Korochikar Undergraduate Student, Department of Computer Engineering, Sharad Institute of Technology Polytechnic, Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Vedika Mahesh Nagarkar Undergraduate Student, Department of Computer Engineering, Sharad Institute of Technology Polytechnic, Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Samedha Adhinath Patil Undergraduate Student, Department of Computer Engineering, Sharad Institute of Technology Polytechnic, Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India

Keywords:

Anti-Theft, Car security, GPS tracking, GSM, IoT, RFID, Vehicle safety

Abstract

Vehicle theft remains a significant concern worldwide, leading to financial loss and security threats. Traditional security mechanisms, such as alarm systems and central locking, are often ineffective against sophisticated theft techniques. This research presents an advanced Anti-Theft Car Security System that integrates modern technologies such as GPS, GSM, RFID, and IoT-based real-time monitoring to enhance vehicle security. The proposed system employs a motion sensor and RFID authentication to detect unauthorized access attempts. In case of theft, the system automatically disables the engine and sends real-time alerts to the owner via SMS and a mobile application. Additionally, GPS tracking allows continuous vehicle location monitoring, improving chances of recovery.
The research explores various theft scenarios and analyses the effectiveness of the proposed system against conventional methods. The implementation and testing demonstrate a significant improvement in theft prevention and vehicle recovery. The system is designed to be cost-effective, user-friendly, and scalable, making it suitable for widespread adoption. Future enhancements include AI-based intrusion detection and integration with law enforcement databases for improved security measures. This study aims to contribute to the development of intelligent vehicle security solutions, reducing theft incidents and ensuring vehicle safety.

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Published

2025-03-21

Issue

Vol. 4 No. 1 (2025)

Section

Articles