Burglar Prevention IOT Model

Authors

  • Dr. Mohan Kumar S  Professor & Dean, Nagarjuna College of Engineering & Technology, Bangalore, Karnataka, India
  • Dr. Jitendranath Mungara  Principal & Professor, Nagarjuna College of Engineering & Technology, Bangalore, Karnataka, India
  • Pearl Priya  Student, Department of Computer Science and Engineering, NCET, Bangalore, Karnataka, India
  • Komal Devi  Student, Department of Computer Science and Engineering, NCET, Bangalore, Karnataka, India
  • Subham Verma  Student, Department of Computer Science and Engineering, NCET, Bangalore, Karnataka, India
  • Shubham Raj   Student, Department of Computer Science and Engineering, NCET, Bangalore, Karnataka, India

Keywords:

Internet of Thing, C-Mount monitor

Abstract

In today’s era, Security and safety has been an alarming concern. The dependence on C- Mount monitors to monitor and identify is quite popular. However, the traditional way tomonitor the unlawful movement on C-Mount monitors requires a security personnel which in turns adds to total budget. Therefore, our idea of preventing theft, based on the underlying principles of IOT using RP-3 model can limit the power usage as well as decrease its dependence on manual labor. The eminent use of raspberry pi in our system will enable us to process the live videos and photos to espy stealer by processing the motionpatterns. The model binds a RP camera and RP-3 model both accompanied by a route with practical show invisible which can be instrumental in night and for data storage, thumb drive is used. The model uses radiology to spot the exact movement and focus on exact filed movement in the camera. The End user can monitor online the transmitted picture which is sent via the model using IOT. The entire footage can also be accessed through the Thumb Drive for additional reference. End users can monitor the entire movement and can get access to the picture of the actions through internet live. It adds a revolutionary flavor to Internet of Thing.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. Mohan Kumar S, Dr. Jitendranath Mungara, Pearl Priya, Komal Devi, Subham Verma, Shubham Raj "Burglar Prevention IOT Model" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.316-322, May-June-2021.