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Vehicle Number Plate Detection System

EasyChair Preprint no. 12770

7 pagesDate: March 27, 2024


This project aims to The "Vehicle Number Plate Detection
System" represents a novel solution aimed at automating the
detection, recognition, and management of vehicle license
plates to enhance traffic monitoring and control. Leveraging
state-of-the-art computer vision techniques, particularly
Optical Character Recognition (OCR), the system accurately
identifies and records the license plates of incoming and
outgoing vehicles in real-time. Through the integration of
advanced preprocessing methods, the system demonstrates
robust performance even in challenging environmental
conditions, including varying lighting and occlusions. The
captured data, including the count of incoming and outgoing
vehicles and total traffic volume, are securely stored in a
centralized database for comprehensive analysis and
reporting. Additionally, an intuitive administrative portal
facilitates efficient access and management of the stored data
by authorized personnel. The system's seamless integration of
OCR technology with robust data storage capabilities offers a
transformative solution to modern-day traffic management
challenges, promising improved efficiency, transparency, and
safety on roadways.

Keyphrases: detection, images, number plates, Vehicles

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ambala Rakesh and Myaka Narasimha and Nagaruru Suchindra and Gaurav Varshney},
  title = {Vehicle Number Plate Detection System},
  howpublished = {EasyChair Preprint no. 12770},

  year = {EasyChair, 2024}}
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