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).