BME Seminar: EyeGage: Making Communities Safer

EyeGage is enabling a new paradigm of mobile device-based, pro-active drug screening. EyeGage increases the speed and accuracy of drug detection with computer vision analysis of the eye. The EyeGage technology runs on a mobile device that first takes a picture and video of the eyes, classifies features such as the pupil and iris, and then applies AI-based techniques to identify any drugs and alcohol in one’s system. EyeGage can be used to detect classes of substances such as alcohol, amphetamines, benzodiazepines, opioids, and marijuana because our eyes look and behave differently when under the influence of these substances. The EyeGage solution saves time, money, and lives, while inherently reducing the negative impacts of substance abuse on families and communities.

Dr. LaVonda Brown is the founder and CEO of EyeGage - intelligent drug/alcohol screening technology through computer vision analysis of the eye. She holds a BS in Electronics Engineering from Norfolk State University, an MS and PhD in Electrical and Computer Engineering from Georgia Tech, as well as an MBA from the Scheller College of Business. Her expertise lies in the areas of artificial intelligence and eye-analysis technologies, and over the past decade her work has been published, patented, and licensed for commercial use.