# 💡[Feature]: Implementing new Feature "Drowsiness Detection Feature Implementation 🚗😴

[praveenarjun]

Is there an existing issue for this?

• [X] I have searched the existing issues

Feature Description

General Concept: The Drowsiness Detection feature aims to enhance vehicle safety by monitoring the driver's alertness and detecting signs of drowsiness. This feature will utilize machine learning algorithms to analyze real-time data from various sensors and cameras to predict and alert the driver when drowsiness is detected.

Functional Requirements:

Real-time Monitoring: Continuously monitor the driver's facial expressions, eye movements, and head position. Alert System: Trigger audible and visual alerts when drowsiness is detected. Data Logging: Record instances of drowsiness for later analysis and reporting. Integration: Compatible with existing vehicle infotainment and safety systems. Potential Use Cases:

Personal Vehicles: Enhance driver safety during long trips by preventing accidents caused by drowsiness. Commercial Fleets: Improve safety standards for commercial drivers, reducing the risk of fatigue-related accidents. Rental Services: Offer an additional safety feature for rental car services, providing peace of mind to customers. Implementation Considerations:

Algorithms and Methods: Utilize techniques such as facial landmark detection, eye blink rate analysis, and head pose estimation. Machine learning models like Convolutional Neural Networks (CNNs) can be trained on labeled datasets to detect signs of drowsiness. Sensor Integration: Integrate with in-vehicle cameras and sensors to capture necessary data for analysis. Workflow Example: The system continuously captures video and sensor data of the driver. The machine learning model processes the data to detect signs of drowsiness. Upon detecting drowsiness, the system triggers an audible alarm and displays a visual alert on the dashboard. The instance is logged for future analysis and reporting.

Use Case

Personal Vehicles: Enhance driver safety during long trips by preventing accidents caused by drowsiness. Commercial Fleets: Improve safety standards for commercial drivers, reducing the risk of fatigue-related accidents. Rental Services: Offer an additional safety feature for rental car services, providing peace of mind to customers.

Benefits

Increased Safety: Reduce the number of accidents caused by drowsy driving. Real-time Alerts: Immediate feedback to drivers when signs of drowsiness are detected. Data Collection: Record instances of drowsiness for further analysis and improvement of the system. Enhanced User Experience: Provide peace of mind to drivers and fleet managers with advanced safety features.

Add ScreenShots

https://user-images.githubusercontent.com/73580507/159136371-943b6761-0a8f-44af-a471-ff0b78d18514.gif

Priority

High

Record

• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

[github-actions[bot]]

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[praveenarjun]

I made a pull request pls have a review

[github-actions[bot]]

Hello @praveenarjun! Your issue #1312 has been closed. Thank you for your contribution!