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EyeWarning

Android-based Drowsy Driver Detection Application using Image Processing.

Install / Use

/learn @zinia94/EyeWarning
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

EyeWarning

I developed an Android-based drowsiness detection system utilizing image processing techniques. The result is a smartphone application that monitors a driver's face in real time, alerting them if their eyes remain closed or nearly closed for more than two seconds. This application uses the smartphone's front camera to continuously observe the driver's face. To effectively use this system in real-world scenarios, drivers will need a mobile stand to secure their phones within their vehicles.

Requirements

  1. Hardware
  • Android Device with minimum sdk 21
  • Mobile stand for vehicles
  1. Software
  • download OpenCV Manager from google playstore
  • Download shape_predictor_68_face_landmark.dat and store in internal storage of the android device
  • Run the application

What I used

  • Opencv Library
  • Dlib library
  • Android Studio

Implementation

alt text

alt text

Related Skills

View on GitHub
GitHub Stars27
CategoryDevelopment
Updated7mo ago
Forks19

Languages

Java

Security Score

87/100

Audited on Aug 24, 2025

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