Develop an algorithm using OpenCV Python to accurately detect and track the Pupil in realtime

- Able to efficiently and automatically calibrate the cameras to focus on the pupil. - Able to convert pupil diameter from pixels per frame into mm per second. - Able to effectively implement real-time image processing. - Able to wirelessly output test videos and corresponding behaviour graphs. - Able to detect closed eyelid. - Able to accurately predict pupil when eyelid shuts. - Able to accurately count the number of times eyelid shuts. - Able to compare pupil to avg. pupil size (threshold) to determine smaller or larger abnormality. - Need to develop a efficient Pupil Tracking Algorithm using OpenCV Python. - Able to differentiate between a blink closing of eye for a longer period of time. - Able to track pupil from different videos effectively.