Open AccessIntelligent System to Identify Unauthorized Automobiles using Internet of Things
Author(s) -
S. Karthik,
T A Mohanaprakash,
S.Annie Sheryl,
Geetha Mani,
S. Raja
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7820.019320
Subject(s) - computer science , task (project management) , process (computing) , cloud computing , wireless , internet of things , the internet , real time computing , data collection , code (set theory) , toll , drone , embedded system , computer security , engineering , telecommunications , systems engineering , world wide web , operating system , programming language , biology , genetics , statistics , mathematics , set (abstract data type)
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.