LPrecognise Computer Vision Project
Here are a few use cases for this project:
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License Plate Recognition: This is probably the primary use case for the "LPrecognise" model, given its ability to identify the languages appearing on license plates. In a parking management system, the model can be used to automate entry and exit, payment processing, and violation detection.
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Document Verification: Authorities could use this model to scan and verify vehicle registration documents or other documentation that contains these specific symbols.
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Traffic Surveillance: Law enforcement agencies can use the model in surveillance cameras to identify and track vehicles based on their license plates for security and law enforcement operations.
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Automated Toll Systems: The system could use the LPrecognise model to automatically read license plates and thus process toll payments, reducing the need for manual checks and improving efficiency.
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Vehicle Retrieval Systems: In large parking lots or garages, the model could be used for automatic vehicle retrieval. By simply entering the license plate number, the vehicle's location could be provided to the user.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lprecognise_dataset,
title = { LPrecognise Dataset },
type = { Open Source Dataset },
author = { new-workspace-awlgr },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-awlgr/lprecognise } },
url = { https://universe.roboflow.com/new-workspace-awlgr/lprecognise },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-05-25 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the LPrecognise project in your project.
Source
Last Updated
2 years ago
Project Type
Object Detection
Subject
symbols
Views: 81
Downloads: 3
