RFID Based Theft Detection and Vehicle Monitoring System using Cloud
P. Devika1, V.Prashanthi2, G.Vijay Kanth3, J Thirupathi4

1P.Devika, Department of Computer Science & Engineering, MLR institute of technology, Hyderabad (Telangana), India.
2V.Prashanthi, Department of Computer Science & Engineering, MLR institute of technology Hyderabad (Telangana), India.
3G.Vijay Kanth, Department of Computer Science & Engineering, MLR institute of technology Hyderabad (Telangana), India.
4J.Thirupathi, Department of Computer Science & Engineering, Institute of Aeronautical Engineering, Hyderabad (Telangana), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 737-739 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2680028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The rapid advancement in technology has become important to deploy various technology boosters in our daily life that fulfil our requirements by increasing security. Now a day’s thefts are making up their offence on committed areas like banks, street robbery, commercial robbery, jewellery, public vehicles etc. Theft is not just about losing property, sometimes, victims may get seriously injured. Generally when the vehicles get robbed, we file compliant or search CC footages for identification which is time consuming and inaccurate. In this paper we propose a system for theft detection and vehicle security. Our main aim is to implement IOT & RFID based theft detection and vehicle monitoring system using cloud. The RFID tag is used for authentication and raspberry pi is used as the micro controller .Whenever a vehicle theft takes place, the authorized person (owner) will receive a mail including the picture of the vehicle from the information that is stored in cloud.
Keyword: Street Robbery, Commercial Robbery, Jewellery, Public Vehicles.
Scope of the Article: Cloud Computing