EyeGuard: Eye Strain Detection

Project Domain / Category

Image Processing/Health and Wellness

Abstract / Introduction

“EyeGuard” is a mobile app designed to help users detect eye strain, especially after long periods of screen usage. Prolonged screen time can lead to eye fatigue, which can affect vision and productivity. The app allows users to take a selfie, and it analyzes their face for signs of eye strain, such as redness or droopy eyes. Based on the analysis, the app will suggest whether to take a break or continue working. This app promotes better eye health by reminding users to rest their eyes and prevent eye strain.

Functional Requirements:

1.      User Registration and Login

2.      Capture a Selfie

3.      Analyze the image for Signs of Eye Strain (e.g., Redness, Droopy Eyed)

4.      Display Result: “Take a Break” or “Continue Working”

5.      Save History of Previous Eye Strain Checks

6.      User-Friendly Interface for Simple Navigation

Tools:

1.      Development Environment: Android Studio (for Android)

2.      Frontend: XML and Java (Android Studio)

3.      Image Processing Library: SimpleCV or basis Python scripts for easy image analysis (if using Android Studio)

Supervisor:

Name: Dr. Sana Rao

Email ID: sana.rao@vu.edu.pk

Skype ID: rao.sana10