Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64823
Volume:
10 |
6 |
Jun 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and Telecommunication
Parvatibai Genba Moze College of Engineering, Wagholi
Electronics and Telecommunication
Parvatibai Genba Moze College of Engineering, Wagholi
Electronics and Telecommunication
Parvatibai Genba Moze College of Engineering, Wagholi
Electronics and Telecommunication
Parvatibai Genba Moze College of Engineering, Wagholi
Automatic Number Plate Recognition (ANPR) is an intelligent vehicle access control system that identifies vehicle registration numbers using image processing and Optical Character Recognition (OCR). The proposed system uses an ESP32-CAM module to capture vehicle images and OpenCV with EasyOCR to extract number plate information. The extracted number is verified with a MySQL database of authorized vehicles. Based on the verification result, access is granted or denied automatically. An ESP32 development board controls an OLED display and a servo motor for gate operation. The system provides a low-cost, reliable, and efficient solution for automated vehicle monitoring and access control in parking areas, residential societies, and educational institutions.
KEYWORDS
This project presents an Automatic Number Plate Recognition (ANPR) System for automated vehicle access control and monitoring. The system uses the ESP32-CAM module to capture vehicle images and applies OpenCV and EasyOCR techniques to extract vehicle registration numbers. The extracted number is verified against a MySQL database of authorized vehicles.Based on the verification result, the system displays the access status on an OLED display and controls gate operation using a servo motor. The proposed solution reduces manual intervention, improves security, and provides an efficient and low-cost vehicle authentication mechanism suitable for residential societies, parking areas, educational institutions, and industrial premises.
[1] S. Du, M. Ibrahim, M. Shehata, and W. Badawy, "Automatic License Plate Recognition (ALPR): A State-of-the-Art Review," IEEE Transactions on Circuits and Systems for Video Technology, 2013. [2] R. Silva and K. Jung, "Real-Time License Plate Recognition Using OCR Techniques," International Journal of Computer Vision Applications, 2018. [3] M. Laroca et al., "A Robust Real-Time Automatic License Plate Recognition Based on Deep Learning," Expert Systems with Applications, 2021. [4] P. Singh and R. Kumar, "ANPR-Based Smart Vehicle Access Management System," International Journal of Advanced Research in Engineering and Technology, 2023.
Publication Date
6/11/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...