An Agile Security System for Automobiles using IoT
G Sai Vaishnavi1, G Poornima Reddy2, A Surendra Reddy3, V Hanish4, Manjushree S5
1Ms. G. Sai Vaishnavi, Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru.
2Ms. G Poornima Reddy, Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru.
3Mr. Surendra Reddy, Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru.
4Mr. Hanish, Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru.
5Ms. Manjushree S, Computer Science and Engineering, GITAM University, Bengaluru.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 1502-1507 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2367059120/2020©BEIESP | DOI: 10.35940/ijrte.A2367.059120
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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: Thieves are becoming smarter day-by-day which results in increase of looting of automobiles like scooters, cars and many other. To overcome this problem there is a crucial need for an effective system that diagnoses the vehicle theft. In this paper, an IoT based agile security system by using Raspberry Pi as the central processing unit of the entire system, a lightweight, cheap and efficient system is researched, built and explored. The Linux Embedded System gathers the data from Passive Infra-Red (PIR) motion sensors, pressure sensors, gas sensors, Global Positioning System (GPS), Pi camera, buzzer, and Liquid Crystal Display (LCD). The system has generally 2 modes. They are: Owner mode and Theft mode. If the system detects any intrusion in the vehicle it gives an alarm on detection, capture the image of the person by using image processing technique and identifies who is trying to unlock the vehicle and send coordinates of the vehicle when the intruder opens the vehicle door and starts moving the car, along with images of intruder to the owner by using a GSM module. By using GPS module, we can be to get the latitude and longitude of the vehicle remotely when the intruder has theft the vehicle.
Keywords: Image Processing, Intruder, Vehicle Theft, Smart Device, IoT.
Scope of the Article: IoT