Open AccessImage Processing and IoT Based Dynamic Traffic Management System
Author(s) -
Nitin N. Sakhare,
Subhash Tatale,
Sachin Sakhare,
Hemant Dusaane,
Mamta Puri,
Pratika Girme,
Rutuja Sankpal,
Padmavati Ghule
Publication year - 2020
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset207230
Subject(s) - computer science , real time computing , internet of things , image processing , the internet , digital image processing , image (mathematics) , computer vision , embedded system , world wide web
Due to rise in number of vehicles the traffic management has become a major problem. Manual traffic system is not efficient. This paper presents adaptive traffic management system using Internet of Things (IoT) and Image processing. The proposed system has capability to analyze real time data using image processing. Using cameras, different lanes are monitored constantly. The data obtained from different lanes are examined. Detection and counting of number of vehicles in each lane is done by using image processing. The count from each lane is sent to the central processing unit. According to the count of vehicles algorithm calculates waiting time for each lane, then the signal lights will be decided. This system reduces the average waiting time and increases the efficiency of traffic clearance. The system also reduces the pollution due CO2 emission and useful in emergency situations, thus being adaptive traffic management using Internet of Things (IoT).