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A real-time prototype of drowsy driver monitoring system using infrared sources to detect and track the eyes is presented.A special hardware is designed for controlling the LEDs and real-time image acquisition.This method adopts the differential image to enhance the accuracy and robustness of eye detection.A Kalman filter is implemented to track the eyes.The experimental results are discussed.The system is non-invasive,fast and reasonably accurate.
A real-time prototype of drowsy driver monitoring system using infrared sources to detect and track the eyes is presented. A special hardware is designed for controlling the LEDs and real-time image acquisition. This method holds the differential image to enhance the accuracy and robustness of eye detection. A Kalman filter is implemented to track the eyes. The experimental results are discussed. The system is non-invasive, fast and reasonably accurate.