ChallengeThere was a need for a solution that allows precise and accurate assessments of proptosis patients from their homes, reducing the need for pre-surgery hospital visits and providing real-time post-surgery evaluations.SolutionGlorium Technologies developed an end-to-end ophthalmological measurement system using advanced computer vision segmentation models. Our model outperforms Google Facemesh, providing more accurate and reliable measurements.Features:Our developers developed an AI model to generate synthetic images of faces. These images were then auto-labeled and preprocessed to adapt to CV models, ensuring high-quality training data and robust model performance.- CV segmentation modelTo guarantee precise and accurate measurements, we implemented advanced segmentation models capable of accurately identifying and measuring various parts of the eye, including the eyelids, eyebrows, iris, and sclera.- Web/smartphone app:The solution includes a user-friendly web and smartphone app, allowing patients to conduct assessments at home without the need for hospital visits.Business Value- Improved patient outcomesWeb/smartphone app eliminates the need for pre-surgery hospital visits and ensures that patients can access the tool anytime, anywhere.- Boosting revenueBy streamlining the assessment process and reducing the need for in-person visits, the hospital increased its capacity to serve more patients. This efficiency led to a significant boost in revenue.
