Parking Computer Vision Project
Updated 3 years ago
Metrics
Here are a few use cases for this project:
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Smart City Infrastructure: The "Parking" computer vision model could be integrated into a city's traffic management system to monitor and provide real-time data on available parking spots in public areas, reducing congestion and improving parking efficiency.
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Mobile Applications: App developers could incorporate this model into navigation or GPS apps, providing users with current information about parking occupancy in their desired locations.
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Retail Industry: Shopping malls and supermarkets could use the model to manage their parking spaces better, giving customers the convenience of knowing where the available spots are, enhancing overall customer experience.
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University Campuses & Large Organizations: The model could be used on university campuses or large company car parks to optimize the available parking spaces and guide drivers to open spots, reducing search time.
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Integrated Security Systems: In residential or business complexes, the model could be paired with automated gate systems to monitor and control parking occupancy, enhancing security and accessibility.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
parking-fpxnb_dataset,
title = { Parking Dataset },
type = { Open Source Dataset },
author = { Chokri Nada },
howpublished = { \url{ https://universe.roboflow.com/chokri-nada/parking-fpxnb } },
url = { https://universe.roboflow.com/chokri-nada/parking-fpxnb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2025-02-16 },
}