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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64823

Automatic Number Plate Recognition System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64823

Volume:

10 |

6 |

Jun 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

KD

Kakde Dattprasad

Electronics and Telecommunication

Parvatibai Genba Moze College of Engineering, Wagholi

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SM

Sagar Malawade

Electronics and Telecommunication

Parvatibai Genba Moze College of Engineering, Wagholi

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DW

Divya Wagh

Electronics and Telecommunication

Parvatibai Genba Moze College of Engineering, Wagholi

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Mentors

PA

Prof.PATIL A.A

Electronics and Telecommunication

Parvatibai Genba Moze College of Engineering, Wagholi

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Abstract

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

ESP32-CAM OpenCV EasyOCR MySQL Database OLED Display Servo Motor Automatic Number Plate Recognition (ANPR)

Cite This Article

Kakde Dattprasad, Sagar Malawade, Divya Wagh, Prof.PATIL A.A, "Automatic Number Plate Recognition System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-4, Jun 2026.

Full Article/Conclusion

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.

References

[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.

Editorial & Review Transparency

Publication Date

6/11/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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