kendaraan Computer Vision Project
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Here are a few use cases for this project:
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Traffic Monitoring: The "kendaraan" model can be deployed in traffic cameras to categorize trucks on the road according to their classes. By determining the type of truck in real-time, authorities will be able to manage traffic congestion more effectively.
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Vehicle Inspection and Monitoring: The model could be used during inspections at toll booths or checkpoints to ensure the correct type of toll is applied based on the identified truck class.
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Truck Inventory Management: Fleet operators could use this model to monitor and maintain their fleet inventory by identifying the class of their trucks, aiding in better resource allocation for maintenance and check-ups.
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Automated Parking Systems: The model can be used to identify the class of the truck entering into parking areas to allocate suitable parking spaces according to the size of the vehicles.
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Advanced Driver Assistance Systems (ADAS): Car manufacturers could integrate the "kendaraan" model into their car's systems to help drivers be more aware of large vehicles around them, improving the safety of car drivers.
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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-dwsis_dataset,
title = { kendaraan Dataset },
type = { Open Source Dataset },
author = { sipalingpaling },
howpublished = { \url{ https://universe.roboflow.com/sipalingpaling/kendaraan-dwsis } },
url = { https://universe.roboflow.com/sipalingpaling/kendaraan-dwsis },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-31 },
}