Registration Plate Recognition Using Deep Learning

Security, law enforcement, and traffic management all depend on effective vehicle registration plate detection. Accuracy and speed are hampered by the real-world complexity that current systems frequently struggle with, such as varied lighting conditions and camera angles. Delays in law enforcement, traffic jams, and security flaws can all result from inaccurate or sluggish detection. Our approach makes use of the EfficientDet model, which is renowned for its great speed and precision. We carefully fine-tune the model and use focus loss to mitigate class imbalance. An increasingly safe and effective world is made possible by this flexible technology, which improves traffic control, security, and law enforcement. Our goal is to simplify vehicle identification and enhance overall road safety and security by tackling the difficulties presented by real-world situations.

Authors

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/giest62955.2024.10960170
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Registration Plate Recognition Using Deep Learning

S. Kaviya, T Sivasakthi, A. Vijaya Kathiravan, R. Gomathi et al.
Vehicle License Plate Recognition
article

Registration Plate Recognition Using Deep Learning

S. Kaviya, T Sivasakthi, A. Vijaya Kathiravan, R. Gomathi, S Kalpana
article en

Abstract

Security, law enforcement, and traffic management all depend on effective vehicle registration plate detection. Accuracy and speed are hampered by the real-world complexity that current systems frequently struggle with, such as varied lighting conditions and camera angles. Delays in law enforcement, traffic jams, and security flaws can all result from inaccurate or sluggish detection. Our approach makes use of the EfficientDet model, which is renowned for its great speed and precision. We carefully fine-tune the model and use focus loss to mitigate class imbalance. An increasingly safe and effective world is made possible by this flexible technology, which improves traffic control, security, and law enforcement. Our goal is to simplify vehicle identification and enhance overall road safety and security by tackling the difficulties presented by real-world situations.

Openalex Percentile: Top 58%
Vehicle License Plate Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.