EyeGage increases the speed and accuracy of drug detection with computer vision analysis of the eye. EyeGage uses machine learning techniques based on pupil size, sclera color, involuntary twitching, and pupil reaction time to 1) detect substances, 2) measure substance concentration, and 3) assess substance-induced impairment. EyeGage allows communities to stay ahead of accidents with confidence, which saves time, money, and lives.
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