Bravo_Rondilla-FA2 Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Road Safety Management: The model can be used in a Smart City project to enhance road safety measures. It can track motorcyclists not wearing standard helmets or wearing inappropriate sizes, thereby validating helmet compliances for cities or municipalities.
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Helmet Manufacturing Industry: Helmet manufacturers can use this model in their production lines to automatically sort out helmets according to their sizes and types, improving efficiency and reducing manual labor.
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Motorbike Retail Store: Retailers selling bike accessories can implement this model as part of an intelligent system to help customers select the proper helmet size and style virtually, improving the customer shopping experience.
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Traffic Law Enforcement: The law enforcement agencies could use this model to detect violators who choose to ride without a helmet or with an incorrect size, hence enabling better enforcement of traffic rules.
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Motor Sports: In motorbike racing events, organizers can use this model to ensure all participants are wearing appropriate helmets conforming to safety requirements, thus enhancing safety in sports events.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bravo_rondilla-fa2_dataset,
title = { Bravo_Rondilla-FA2 Dataset },
type = { Open Source Dataset },
author = { Mapua },
howpublished = { \url{ https://universe.roboflow.com/mapua-r7zlj/bravo_rondilla-fa2 } },
url = { https://universe.roboflow.com/mapua-r7zlj/bravo_rondilla-fa2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-12-03 },
}