KunAmn2023_0194 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Driver Safety: The model can be used by car manufacturers to develop advanced driving assistant systems (ADAS) that monitor drivers for signs of drowsiness and trigger warning signs, thereby enhancing road safety.
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Fatigue Monitoring in Workplace: Industrial companies can use the model to ensure the fitness and alertness of operators in high-risk environments like mining, nuclear power plants, and manufacturing units where fatigue-related accidents could have serious implications.
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Health Monitoring: It can be incorporated in wellness apps or wearable devices to monitor users for signs of fatigue, advising them to take breaks, rest, or sleep, promoting personal health management.
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Educational Tools: The model can be utilized in online learning platforms to identify if the student is attentive or fatigued, shaping personalized learning processes and offering breaks when needed.
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Drowsiness Detection in Aviation: Airlines can use the model's capability to monitor pilots and air traffic controllers for signs of fatigue, ensuring safe air travel.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kunamn2023_0194_dataset,
title = { KunAmn2023_0194 Dataset },
type = { Open Source Dataset },
author = { class },
howpublished = { \url{ https://universe.roboflow.com/class-wz5a4/kunamn2023_0194 } },
url = { https://universe.roboflow.com/class-wz5a4/kunamn2023_0194 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2025-01-06 },
}