Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 14, Issue 2


Published
on


Pages

203-212


DOI

Article

Implementing Deep Learning algorithms for Automatic license plate Recognition


Authors

Ch Silpa Affiliation:
QIS College of Engineering and Technology, Ongole
, T.sri Kavya Affiliation:
QIS College of Engineering and Technology, Ongole
, A.srinivas Affiliation:
QIS College of Engineering and Technology, Ongole
, B.supriya Affiliation:
QIS College of Engineering and Technology, Ongole
and A.purna Chandra Affiliation:
QIS College of Engineering and Technology, Ongole


Abstract

There is a great need for safe living and travel in this age of rapidly developing technology. The number of cars on the road has risen steadily during the previous decade. As the number of vehicles on the road continues to soar, keeping tabs on each one becomes an increasingly difficult chore. In this study, we propose using roadside surveillance cameras to implement an automated vehicle tracking system for high-velocity vehicles. Obtaining CCTV video of a live event is a time-consuming operation. You Only Look Once (YOLO), a deep learning model used for object recognition, is utilised to address this issue. There are essentially four stages to the suggested process.


Keywords


Citation

(2023). Implementing deep learning algorithms for automatic license plate recognition. Turkish Journal of Computer and Mathematics Education, 14(2), 203–212.

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