DDC_tir Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Traffic Surveillance: The "DDC_tir" model can be utilized for monitoring road conditions and identifying different types of vehicles along with their license plate numbers. This can be beneficial in scenarios such as traffic congestion management, stolen vehicle detection, or determining toll tax fees based on vehicle types.
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Law Enforcement: The Police departments can use this model to identify vehicles breaking traffic rules, automatically detecting the license plate and recording it for fines or legal actions. It will be especially useful for tracking hit and run incidents.
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Parking Management Systems: This model can be integrated into smart parking systems to manage parking slots where it could detect the type of vehicle and read license plates. This allows for automatic tracking of parking time and billing.
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Border Control: The "DDC_tir" model can be utilized at border check posts for automatic identification and classification of incoming and outgoing vehicles, as well as reading license plates. This can increase efficiency and reduce manpower demand.
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Roadway Maintenance: This model can assist in understanding usage patterns of different types of vehicles, which can help in the planning of road repairs and maintenance. By recognizing license plates, authorities can identify frequent users for surveys or special programs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ddc_tir_dataset,
title = { DDC_tir Dataset },
type = { Open Source Dataset },
author = { arda anıl },
howpublished = { \url{ https://universe.roboflow.com/arda-anil/ddc_tir } },
url = { https://universe.roboflow.com/arda-anil/ddc_tir },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-12-22 },
}