Automated Pupillometer Using Edge Detection in OpenCV for Pupil Size and Reactivity Assessment

Measuring pupil size and reactivity in Pupillary assessment is a vital part of preliminary checkup among hospital patients, as it helps in determining neurological disorders. This measurement can be done by either manual or automated. In a manual assessment, which is often performed using a penlight and pupil gauge, there is no standardized protocol used for reactivity. Thus, results can vary due to room conditions and inter-examiner variability. This subjective assessment can lead to misconclusion between clinicians on classifying the health condition of patients. Whereas with automated, which can provide objective measuring through the use of electronics technology with complex algorithms. But automated pupillometers are still currently being used for research purposes. In line with this, the proposed automated pupillometer would like to aid medical personnel in conducting an objective assessment in order to avoid inter-examiner variability. In addition, the said device would procure test data for partnered doctors to assess subjectivity of pupil speed as brisk, sluggish, or non-reactive.