The Instinctive Traffic and Toll Plaza Management with Computer Vision and Image Processing using MATLAB
DOI:
https://doi.org/10.69511/ijdsaa.v1i1.51Keywords:
Traffic rules, violations, Image processing, Smart card, Aadhaar card, Toll plaza, Payment cardAbstract
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.
Downloads
Published
How to Cite
Issue
Section
License

International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.
The author(s) confirms
- The manuscript submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
- The published materials used in the manuscript were obtained permission for reproduction. (if any)