A Pupillometer is designed, which comprises of a spectacle mounted Pi-NOIR Infrared Camera system to detect pupil dilation, constriction and saccades of the eyes of the patient. These parameters will be tracked using IR Illuminators mounted on spectacle frame that will be interfaced to a Raspberry Pi 2 Model B Development board. The Raspberry Pi 2 Model B will be programmed to map the visual acuity parameters. To achieve constriction and dilation, a bright LEDs will be Turned ON and OFF respectively, at rapid rate, while the tracking is going on. The saccade velocity assessment is done by showing a rapidly moving pattern between 2 points. Thus, by obtaining these ranges for the patient and comparing them with a pre- calibrated diabetes proneness scale, the patient’s proneness to diabetes and also an accurate measure of his/her Visual Acuity will be obtained. A standard deviation of plus or minus five percent with respect to the database values of normal and diabetic patients is mapped and the proneness to Type 2 Diabetes will be evaluated. This Project is a preventive diagnostics, cost effective and a prick free modality for early diagnosis of Type 2 Diabetes
