Hel15 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Use Case: Traffic Monitoring and Safety The Hel15 model can be used in traffic surveillance systems. It can monitor motorcyclists in real time to determine if they are wearing helmets or not. This allows traffic authorities to promptly identify and act on safety violations. This model can differentiate between motorcycle types and helmet types which further adds to its analytical capabilities.
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Use Case: Sports Analytics The model can be used for sports or racing analytics, to determine which type of helmets are being used in motor sports events like MotoGP, Superbike racing, etc. Analyzing the use of different helmet types can provide insights into safety measures and preferences within the sport.
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Use Case: Workplace Safety This model can be applied in industrial or construction environments where the use of helmets is mandatory. It can monitor compliance with safety regulations by identifying workers in different areas who are not wearing helmets or using inappropriate ones.
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Use Case: Retail & Shopping Solutions Hel15 can be used in online retail sectors selling helmets. It can be used to scan and catalog images based on the type of helmet, providing a better browsing experience for customers and easier inventory management for retailers.
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Use Case: Insurance Compliance For insurance companies, the model can help verify if motorbike riders or cyclists involved in accidents were wearing the required or covered safety helmets at the event, supporting fraud detection and claims processing.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hel15_dataset,
title = { Hel15 Dataset },
type = { Open Source Dataset },
author = { TT131415 },
howpublished = { \url{ https://universe.roboflow.com/tt131415/hel15 } },
url = { https://universe.roboflow.com/tt131415/hel15 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-11-27 },
}