This ocular impairment detection technology utilizes advanced eye movement analysis, pupil measurement, and real-time machine learning algorithms to objectively identify signs of drug impairment quickly and accurately within six minutes, without the need for body fluids or chemical samples. It addresses the challenge of reliably detecting current impairment from substances such as cannabis, alcohol, or stimulants, solving issues related to traditional drug testing limitations, false positives, and legal liabilities by providing legally defensible, instant results suitable for safety-sensitive industries and organizations seeking to improve workplace safety, law enforcement capabilities, and liability management.
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