Smart Parking System with Optical Character Reading Technology

In the era of smart technology, electric vehicles are increasingly joining fuel-driven vehicles, contributing to rising vehicle volumes and creating challenges in parking management. These challenges include congestion, inefficiency, and difficulties in locating available spaces. This paper presents a solution that provides real-time information on the number of vacant spaces and their exact locations within a parking lot. The system enhances security through a registration process using OpenCV and EasyOCR, allowing only registered vehicles to enter. OpenCV isolates the Region of Interest (ROI) for license plate detection, while EasyOCR extracts license numbers in Bengali and 15 other languages. The system has been tested in a 46-slot parking facility and demonstrated reliable performance under varying lighting conditions, with the model capable of reading license plates at levels as low as 12 lux. This advanced parking system offers a practical and efficient solution for urban areas, improving both security and convenience in managing growing vehicle volumes.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iccit64611.2024.11022496
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Parking System with Optical Character Reading Technology

Abir Ahmed, Md. Shihab Sharar Oyon, Md. Nazrul Islam, Abid Hasan Himel et al.
Smart Parking Systems Research
article

Smart Parking System with Optical Character Reading Technology

Abir Ahmed, Md. Shihab Sharar Oyon, Md. Nazrul Islam, Abid Hasan Himel, Farhan Tajriar Sowmik, Jagannath Bhowmik
article en

Abstract

In the era of smart technology, electric vehicles are increasingly joining fuel-driven vehicles, contributing to rising vehicle volumes and creating challenges in parking management. These challenges include congestion, inefficiency, and difficulties in locating available spaces. This paper presents a solution that provides real-time information on the number of vacant spaces and their exact locations within a parking lot. The system enhances security through a registration process using OpenCV and EasyOCR, allowing only registered vehicles to enter. OpenCV isolates the Region of Interest (ROI) for license plate detection, while EasyOCR extracts license numbers in Bengali and 15 other languages. The system has been tested in a 46-slot parking facility and demonstrated reliable performance under varying lighting conditions, with the model capable of reading license plates at levels as low as 12 lux. This advanced parking system offers a practical and efficient solution for urban areas, improving both security and convenience in managing growing vehicle volumes.

American International University-Bangladesh (BD)
Quality Education
Openalex Percentile: Top 69%
Smart Parking Systems Research
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.

Smart Parking System with Optical Character Reading Technology — Abir Ahmed, Md. Shihab Sharar Oyon, et al. · (2024) | TGRS Research Map | TGRS