Eye detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Fatigue Monitoring: The Eye detection model can be used in monitoring driver fatigue in vehicle safety systems by tracking eye movements and closure patterns to send warnings or alerts when fatigue is detected.
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Gaze Tracking for Accessibility: Using the Eye detection model, software applications can be developed for individuals with limited mobility to interact with computers, smartphones or other electronic devices through eye movements.
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Eye Health Diagnosis: Healthcare professionals can utilize the Eye detection model to analyze eye photographs for early detection of potential eye conditions, like glaucoma or cataracts, by recognizing abnormal eye patterns.
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Human-Computer Interaction: The Eye detection model can be integrated into virtual reality (VR) or augmented reality (AR) systems to improve user experience by allowing realistic eye interaction with rendered environments.
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Improved Facial Recognition: Combining the Eye detection model with other facial features recognition can create more accurate and robust facial recognition systems for security, identification, and authentication purposes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
eye-detection-zpy1w_dataset,
title = { Eye detection Dataset },
type = { Open Source Dataset },
author = { Peaches },
howpublished = { \url{ https://universe.roboflow.com/peaches/eye-detection-zpy1w } },
url = { https://universe.roboflow.com/peaches/eye-detection-zpy1w },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-11-11 },
}