Automated impairment detection system and method

Abstract

Systems and methods to determine if an individual is impaired. The system includes a display and a stimulus on the display. The system includes a controller programmed to move the stimulus about the display and one or more sensors that track eye movements and pupil size of a user due to movement of the stimulus or light conditions. The system includes a processor programmed to analyze the eye movements and pupil data size. The system is programmed to determine the drug, or category of drug, causing impairment. The method includes using and collecting data from a testing apparatus. The method includes processing the data with an automated impairment decision engine to determine whether a subject is impaired. The method includes using machine learning models or statistical analysis to determine whether a test subject is impaired. The automated impairment decision engine may be trained using machine learning and/or statistical analysis.

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