ESR App API CV (Erythrocyte Sedimentation Rate Estimation)
Research Project
Computer Vision
Mobile App
Project Overview
Computer-vision pipeline and mobile app to estimate Erythrocyte Sedimentation Rate (ESR) from videos of a paper-based microfluidic device.
Technical work for the IIT BHU research paper on ESR estimation using a paper-based microfluidic device. Implemented a computer-vision pipeline to detect and analyze fluid movement in video frames, compute movement speed and timing, and estimate ESR. Built a mobile app allowing users to upload videos and receive automated ESR estimates via the inference API.
Features
- Computer vision algorithms to detect fluid front movement on paper microfluidic devices
- Frame-by-frame tracking and motion analysis to compute ESR-related metrics
- Backend inference API (Flask/Node) to process uploaded videos and return ESR estimates
- Mobile app UI for video upload, progress monitoring, and result display
Key Outcomes
- Implemented robust motion-detection and tracking for fluid front analysis
- Automated ESR estimation pipeline integrated with mobile app
- Supported processing of varied video qualities with preprocessing steps
Tech Stack
PythonOpenCVTensorFlow (if applicable)FlaskReact NativeNode.js