Abstract

This paper proposes a real-time vehicle surveillance system based on image processing approach tailored with short message service. A background subtraction, color balancing, chain code based shape detection, and blob filtering are used to detect suspicious moving human around the parked vehicle. Once detected, the developed system will generate a warning notification to the owner by sending a short message to his mobile phone. The current frame of video image will also be stored and be sent to the owner e-mail for further checking and investigation. Last stored image will be displayed in a centralized monitoring website, where the status of the vehicle also can be monitored at the same time. When necessary, the stored images can be used during investigation process to assist the authority to take further legal actions.

Highlights

  • Feeling secure is an important part of every human life, and that is why it is essential for human to feel secure and safe

  • By assuming there is no object in the current frame, the first frame of the video will be used as the reference image which simulates the first image captured when the system becomes active

  • Image of the suspected person is can be known in an instant manner

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Summary

Introduction

Feeling secure is an important part of every human life, and that is why it is essential for human to feel secure and safe. Part of those feeling secure is about being safe about their belongings. In order to do so, this paper will implement image processing to create such a real-time guarded vehicle. The vehicle security level itself is not showing a really good numbers recent years. The private cars are stolen more than the commercial cars. This situation urges a necessity to implement or add any new features into current vehicle security system in order to minimize this very critical unwanted situation

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