The Instinctive Traffic and Toll Plaza Management with Computer Vision and Image Processing using MATLAB

  • Rajalashmi K Bannari Amman Institute of Technology, Sathyamangalam, India
Keywords: Traffic rules, violations, Image processing, Smart card, Aadhaar card, Toll plaza, Payment card

Abstract

In the current world, people don’t have time to ride or drive carefully by following appropriate traffic rules and discipline to avoid any casualty. Everyone is in a hurry to reach their destination on time; this leads to many traffic problems and create cumbersome among the public. On the other hand, inspite of utilizing advanced innovation to save time, it gets spoiled due to the toll plaza, where it takes any minutes or sometimes it even takes a whole day to pass through. These regular issues are happening due to the manual process that being held. In this project, an image processing and compute vision is introduced, so that if any individual violate the traffic rules (rough driving, over speed,one way, tripling on bike, no helmet, fastening the seat belt etc…) a PDF is generated and either mail to the respective individual or sent post, so that he/she should aid the penalty rely upon the negotiation within one month. Equivalently, in Toll Plaza a smart card encrypted with image processing will be given to each individual which is accessible in a certain particular locality. It decodes the registration number, it has to be linked with the Aadhaar card, so that by using this smart card the individual can either pay with the payment card (credit, debit card) or can recharge the smart card and paid accordingly. A bill is sent to the respective individual by means of either one way, two way billing method or manually; these are processed automatically.

Published
2019-11-23
How to Cite
K, R. (2019). The Instinctive Traffic and Toll Plaza Management with Computer Vision and Image Processing using MATLAB. International Journal of Data Science and Advanced Analytics                     &Nbsp; (ISSN 2563-4429), 1(1), 47-52. Retrieved from http://ijdsaa.com/index.php/welcome/article/view/51
Section
Articles