"Intrested to propose Computer Vision Model for Drowsiness Detection Using YOLOv5 and OpenCV"

[praveenarjun]

Add YOLOv5-Based Drowsiness Detection Model Using OpenCV Purpose

We propose adding a new Computer Vision model for drowsiness detection using YOLOv5 and OpenCV to the DL-Simplified repository. This enhancement aims to provide a practical application for detecting drowsiness in various scenarios, such as monitoring driver alertness. Benefits and Impact

Enhanced Functionality: This model will extend the repository's capabilities by introducing a state-of-the-art drowsiness detection system.
Practical Applications: The model can be used in real-time applications to ensure safety by monitoring and alerting drowsiness, particularly useful in automotive safety systems.

Technical Requirements

YOLOv5: Utilized for object detection and classification.
OpenCV: Used for real-time video processing and capturing data.

Integration Steps

Model Development: Implement the YOLOv5 model for drowsiness detection.
Data Collection: Use OpenCV to capture and process video data for training and detection.
Model Training: Train the model with relevant datasets to detect signs of drowsiness.
Evaluation: Test the model's accuracy and performance in real-time scenarios.

This addition will significantly enhance the repository's offerings and provide a valuable resource for contributors interested in practical deep learning applications.

[github-actions[bot]]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[praveenarjun]

pls you consern about my request pls give me a label it will be helpful gssoc,hacktoberfest