Cataract surgery is largely affected by the rotation of the eye of the patient. The rotation of the eye changes when the patient lays down for operation. Through the use of machine learning, the surgical camera system can be taught how to differentiate the anatomy of the eye’s anterior structure, which consists of the pupil, iris, and sclera, and detect the eye’s rotation and movement. By utilizing videos of real eye surgeries, we will be training the neural network model with tagged images of the different parts of the eye’s anatomy after evaluating different neural network models and selecting one for use.