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An Approach for Theft Detection and Alerting System

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Information Systems and Management Science (ISMS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 521))

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Abstract

Today there is a high rate of theft everywhere. Detecting the theft earlier is in high demand. The system which exists is popular using only using CCTV. But now a day’s lots of systems are available with many advanced algorithms. It makes the process more efficient. The proposed research work discusses face recognition and also weapon detection if the thieves brought weapons. In this system, a mobile application telegram is used. The image processing system is also used to implement the application. Wi-Fi module is used to send a photo of a person if he stands near the door. If an unknown person image is detected, then a buzzer will be triggered as an alarm, and then the owner can check the camera in the telegram application. The problems of the existing systems are the intruder can be identified after the theft. The human, along with the weapon, is also not detected in the existing approaches. The work carried out in this paper detect the unknown person and design a cost-effective and more efficient system to identify the theft in real-time and send the immediate notification of the theft to the owner for further action.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Presidency University, Bengaluru, Karnataka, India

    B. C. Manujakshi

  2. Department of Electronics and Instrumentation Engineering, RV College of Engineering, Bengaluru, Karnataka, India

    K. B. Ramesh

  3. Department of Computer Information Systems, University of Malta, Msida, Malta

    Lalit Garg

  4. Department of Computer Science and Engineering, Acharya Institute of Technology, Bengaluru, Karnataka, India

    T. M. Shashidhar

Authors
  1. B. C. Manujakshi
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  2. K. B. Ramesh
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  3. Lalit Garg
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  4. T. M. Shashidhar
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Corresponding author

Correspondence to B. C. Manujakshi .

Editor information

Editors and Affiliations

  1. Department of Computer Information Systems, University of Malta, Msida, Malta

    Lalit Garg

  2. Computer Science and Engineering, National Institute of Technology, Chhatisgarh, India

    Dilip Singh Sisodia

  3. Central University of Rajasthan, Ajmer, Rajasthan, India

    Nishtha Kesswani

  4. Computer Information Systems Department, University of Malta, Msida, Malta

    Joseph G Vella

  5. EMLYON Business School, Écully, France

    Imene Brigui

  6. Faculty of Information and Communication Technology, University of Malta, Msida, Malta

    Peter Xuereb

  7. Department of Computer Science and Communication, Ostfold University, Halden, Norway

    Sanjay Misra

  8. Computer Science and Engineering, National Institute of Technology, Chhattisgarh, India

    Deepak Singh

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Manujakshi, B.C., Ramesh, K.B., Garg, L., Shashidhar, T.M. (2023). An Approach for Theft Detection and Alerting System. In: Garg, L., et al. Information Systems and Management Science. ISMS 2021. Lecture Notes in Networks and Systems, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-031-13150-9_47

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