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April 4, 2026Journal of university of Anbar for pure scienceOpen Access

A new procedure for automatic vehicle license plate recognition monitoring system via CNN and RCNN and Arduino

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Authors

AAAnwar H. Al-SalehMMMohanad MeteabSMShajan Mohammed Mahdi

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Overview

This research demonstrates an automatic vehicle license plate recognition system using CNN and RCNN, indicating potential for enhanced security.

Key Points

  • The study aims to develop a reliable vehicle license plate recognition system for security in various domains.
  • Utilized CNN and RCNN algorithms for vehicle detection and license plate recognition.
  • Integrated Arduino microcontroller with ultrasonic sensor and camera for image capture.
  • Compared captured images against a database of authorized vehicles.
  • Achieved an accuracy rate of over 98% in vehicle license plate recognition.
  • Demonstrated reliability and effectiveness in security applications.

Cite This Study

Al-Saleh et al. (2026) studied this question.

synapsesocial.com/papers/69d0af68659487ece0fa5687https://doi.org/10.37652/juaps.2025.161328.1428
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