Drowsiness detection Computer Vision Project
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Here are a few use cases for this project:
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Vehicle Safety Systems: This model can be integrated into vehicle safety systems to alert drivers when they show signs of drowsiness, helping prevent accidents due to drowsiness.
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Fleet Management: Companies with fleet operations could use this model to monitor the alertness of their drivers during long-haul trips, ensuring they take necessary rest breaks.
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In-Car Entertainment System Development: Developers of in-car entertainment or assistance systems could incorporate this model to turn off distractions when the driver begins to drowse, reducing accident risks.
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Research on Driver Behavior: Academics and researchers studying driver behavior and fatigue could use this model to gather data for their studies, helping to improve understanding and policymaking in the field.
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Driver Training Programs: Driving schools and training institutions could use the model to teach new drivers about the symptoms of drowsiness and the importance of rest, enhancing learning and inculcating safe driving habits.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
drowsiness-detection-th6tu_dataset,
title = { Drowsiness detection Dataset },
type = { Open Source Dataset },
author = { drowsinessdetection },
howpublished = { \url{ https://universe.roboflow.com/drowsinessdetection-wyynr/drowsiness-detection-th6tu } },
url = { https://universe.roboflow.com/drowsinessdetection-wyynr/drowsiness-detection-th6tu },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-23 },
}