Screen on eye Computer Vision Project

Here are a few use cases for this project:

1. Healthcare Applications: The "Screen on Eye" model could be utilized in healthcare for detecting possible screen-induced eye issues, like strain or damage, from prolonged exposure to different types of screens. It can identify correlations between various screen types and specific eye conditions, helping doctors diagnose and recommend appropriate precautions or treatments.

2. Digital Well-being Research: Research institutes could use it to study the impact of different types of screens (LCD, LED, OLED, etc.) on human eyes. The results can contribute to formulating guidelines for safe screen usage and can be beneficial for digital well-being initiatives.

3. Workplace Safety: In occupational health and safety, this model could monitor workers who spend prolonged hours in front of the screen. By detecting signs of strain or injurious exposure, it can help to enforce healthy work habits and ergonomic guidelines.

4. Optometry Research: Researchers and academicians in the field of optometry can use this computer vision model to study the relationship between computer vision syndrome (CVS) and the type of screens most commonly associated with it. Such research can lead to the creation of more effective vision care products and solutions.

5. Personalized Screen Recommendations: The model could be used by companies that manufacture screens (computers, TVs, smartphones, etc.) or by retailers for recommending suitable screens to customers based on how different screen types affect their eyes. This can contribute to an improved, personalized shopping experience.