Contactless Facial Blood Flow monitoring for Drunk Driving Detection


A person’s facial blood flow coveys an enormous amount of information and is controlled by the autonomous nervous system. Intoxication leads to vasodilation of blood vessels and increased blood flow on the face (e.g., red face and redness of the nose), while drowsiness results from the parasympathetic dominating over the sympathetic nervous system (e.g., blood flow of the nose versus the forehead changes). This project aims to develop a time-of-flight (ToF) camera combined with artificial intelligence/machine learning to exploit changes in facial bloodflow to detect drunk driving in real-time.


People

Raed
Al Kontar

ECE, IOE, ISD
Engineering

Mohammed
Islam

ECE
Engineering

Judy
Jin

IOE
Engineering


Funding: $45K (2022)
Goal: This project aims to develop a time-of-flight (ToF) camera combined with artificial intelligence/machine learning to exploit changes in blood flow and detect drunk driving in real-time.
Token Investors: Raed Al Kontar, Mohammed Islam, Judy Jin


Project ID: 1011