A New Approach to Detect Use of Alcohol Through Iris Videos Using Computer Vision


In all modern society the increase in alcohol consumption has caused many problems and the potential harmful effects of alcohol on human health are known. There are some ways to identify alcohol in a person, but they are invasive and embarrassing for people. This work proposes a new non-invasive and simple test to detect use of alcohol through of pupillary reflex analysis. The initial results present rates near 85% in the correct identification using algorithms for pattern recognition, demonstrating the efficacy of the test method.

In Proceedings of 18th International Conference on Image Analysis and Processing (ICIAP)
Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.