Mobile App Eye-Bulge Tracking Developer Needed

Project Title: Computer Vision Expert for Eye Motion Detection (Mobile App - Closed-Eyelid Tracking)
Project Overview
We are looking for a highly skilled Computer Vision / AI Developer to build a specialized motion detection module for a mobile application. The core objective is to detect and quantify eyeball movements by analyzing video footage of a subject’s closed eyelids.
Technical Challenge: "Bulge Tracking"
Unlike standard pupil tracking, this project requires analyzing the movement of the eyeball "bulge" underneath the closed eyelid. The solution must be hardware-agnostic, working with standard smartphone RGB cameras under normal lighting conditions, without the need for specialized IR sensors.
Key Deliverables & Requirements
1. Motion Detection: Identify horizontal and torsional movements underneath closed eyelids.
2. Data Quantification: Provide precise metrics for:
o Frequency (cycles per second).
o Amplitude (intensity/displacement).
o Direction (vector analysis).
3. State Transition: The algorithm must seamlessly transition from "Bulge Tracking" (closed eyes) to standard "Pupil/Iris Tracking" (open eyes) within the same 30-second video clip.
4. Mobile Optimization: The final module must be lightweight and optimized for real-time or near-real-time performance on iOS and Android devices.
Candidate Profile
• Expertise in OpenCV, MediaPipe, TensorFlow Lite, or CoreML.
• Proven track record in Image Processing or Eye-Tracking projects.
• Strong background in Motion Analysis and extracting signals from noisy video data.
• Experience in delivering code ready for mobile integration.
Application Instructions
Please include the following in your proposal:
• Examples of previous work involving motion detection or object tracking on mobile platforms.
• A brief description of your proposed technical approach for detecting movement through the eyelid surface.
• Estimated timeline for a Proof of Concept (PoC).