Intelligent System to Identify Unauthorized Automobiles using Internet of Things
S.Logesh Karthik1, T.A.Mohanaprakash2, S.Annie Sheryl3, M.Geetha4, S.Raja5
1S.Logesh Karthik*, Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.
2T. A. Mohanaprakash, Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.
3S.Annie Sheryl , Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.
4M.Geetha, , Department of CSE, Panimalar Institute of Technology, Chennai, TamilNadu, India.
5S.Raja , Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2298-2304 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7820129219/2020©BEIESP | DOI: 10.35940/ijitee.B7820.019320
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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: In cities vehicle checking and analysis is a prominent task. These tasks are accomplished by traffic policeman and include various manual works. We present a system to automate the existing task using the technologies Internet of things (IoT) and Artificial Intelligence (AI). The proposed system checks the details of the vehicle and isolates unauthorized automobiles, detects the overall traffic in a specific area, road damage analysis and automated fine collection and toll collection. This system is composed of a two module. Module one embedded with a unique code located in the vehicle and Module two is a scanning device in which the unique code is obtained and further processed in the receiving end using which other details of the vehicle is gathered from the cloud storage. This paper mainly focuses on multiple checking of vehicles using RFID wireless communication, OFDMA technique for numerous access and Artificial Intelligence to predict the traffic and road damage analysis. This system operates using radio frequency communication, and replaces manual task in vehicle invigilation process.
Keywords: RFID, OFDMA, Multiple Access, Road Damage Analysis
Scope of the Article: Internet of Things (IoT)