Automatic traffic E-challan generation using computer vision

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The Automatic recognition of license plate is the basis of effective management in traffic, the automatic detection and localization of license plate is an important part. License plate detection and contain how to extract or segment the license plate region from the license plate image a new deep learning network structure was designed, and designed network structure was used to detect and locate the license plate automatically. The system proposed by us involves automatic detection of vehicles that break the traffic rules at respective signals and registration number for every vehicle is recognized. The vehicle number detected is searched in the database for type of vehicle and owner’s information. This information is used to generate e-challan in the name of the person who owes the vehicle directly and instantly and send appropriate fine message to the owner. So it will be more efficient and will require less human intervention.

Author supplied keywords

Cite

CITATION STYLE

APA

Dhage, M. R., Patil, G. V., Mistry, S. J., Tambe, P. N., & Nankar, P. H. (2020). Automatic traffic E-challan generation using computer vision. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 39, pp. 203–213). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-34515-0_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free