Driver Fatigue Detection Device
(EPFL, July 15, 2013)
A student at EPFL has been working with car manufacturer Peugeot to develop a driver fatigue detection algorithm. The algorithm uses video of the driver to measure and analyze the percentage of time the driver's eyelids are closed, defined as covering more than 80% of the pupil. Together with other driver measurements, such as yawning, fatigue can be predicted. The algorithm needs to be robust to varying lighting and environmental conditions, and it needs to run on the limited capacity of a vehicle computer. Peugeot will help test the algorithm in realistic conditions.