Impairment analysis systems and related methods

An impairment analysis system comprising:

• a handheld image capture device that captures a plurality of images of an eye of a subject illuminated by ambient light over a period of time;
• a computing device comprising at least one processor and memory configured to:
• control a light source to emit light in a predetermined pattern for guiding the subject's eyes during capture of the plurality of images of the eye over the period of time;
• receive, from the image capture device, the captured plurality of images, wherein the images include pixels corresponding to a pupil, iris, background, or other features of the eye of the subject;
• maintain a database of machine learning analysis of other subject's normal eye movement in response to an applied light stimulus;
• classify pixels from the captured plurality of images as either pupil, iris, background, or other features of the eye of the subject based on the database of machine learning analysis;
• track movement of the classified pixels in the plurality of images over the period of time;
• analyze impairment of the subject based on the tracked movement as compared to the machine learning analysis in the database;
• and
• present, to a user, a result of the impairment analysis.