Eyesight: Eye Examination System with Intelligent Guidance and Human Tracking

Automated retinal inspection systems may enable broader access to consistent diagnostic eye examinations. In this work, we present an automated, contactless posterior eye examination system that can perform examinations at safe distances on freestanding patients. The system uses seven cameras, with two tracking the head, four tracking the pupil being examined, and one collecting diagnostic images through a wide-angle indirect ophthalmoscope lens to capture a 56° retinal field of view. The sensor system is mounted on a robot arm, which tracks the center to the patient's head motion, locking onto the pupil, and capturing images of the retina. Feasibility studies on a moving phantom and members of the research team indicate that the system can generate high quality images suitable for diagnostic purposes.