Kendaraan Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Traffic Management: The "Kendaraan" computer vision model can be useful for municipal departments in identifying the types of vehicles on roads. This could help with overcrowded traffic planning or implementing traffic rules effectively on different vehicle classes.
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Surveillance & Security: It can be used in surveillance systems to identify and track certain classes of vehicles. For example - locating a specific type of vehicle involved in a crime or unauthorized vehicle entry in restricted areas.
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Vehicle Analytics: The model can be a vital asset for companies requiring data on road vehicle distributions. For instance, market research firms, automobile companies, insurance companies, etc., might use this model to gain insights about the predominance of certain vehicle types in specific regions.
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Automated Toll Systems: This model could be employed to classify vehicles to calculate toll fees accurately. Different classes of vehicles could be charged differently, streamlining the toll collection process.
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Smart Parking Solutions: The model can be used to more efficiently manage and allocate parking spaces by identifying vehicle types. Different vehicle classes can be assigned to appropriate parking spaces to optimize space usage.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kendaraan-lhoms_dataset,
title = { Kendaraan Dataset },
type = { Open Source Dataset },
author = { new-workspace-nqqcg },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-nqqcg/kendaraan-lhoms } },
url = { https://universe.roboflow.com/new-workspace-nqqcg/kendaraan-lhoms },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-11-21 },
}