Identifeye HEALTH needed a portable, automated retinal imaging system designed for easy use in primary care settings as a way to sell their AI powered diagnostics system. They had hardware that captured high-quality images to detect diseases like diabetic retinopathy early, helping prevent blindness, but needed a user-friendly design that required no specialized training, allowing healthcare providers to focus on patient care. With extensive user research we created a system that adapted to users of all sizes in any care setting, and folded for easy storage in small primary care clinics.
skills: Design Direction, Mechanical Engineering, Industrial Design, User Research, DFM
years: 2022