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This study proposes an anti-counterfeiting system of drunk driving, which prevents drivers from drunken driving and cheat of driver's alcohol detection. The study develops the technology of driver's facial image match by a serial image processes. The methodology of facial image match uses the Adaboost algorithm, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) to extract the facial features of drivers, is suitable to be applied under the internal environments of cabin. By analyzing the facial features of drivers, the time of driver's exchange is detected, and the driver's identity is indentified. When the cheat act of driver's alcohol detection occurred, the system will generate warning signals through a buzzer to notice the driver to take alcohol detection.

This paper proposes an image-based vehicle safety system, which has the ability to monitor the driver's status during their driving in all environment conditions. The image process technique, used to detect the driver's face by AdaBoost-based algorithm, is suitable to be applied under the internal environments of cabin. By analyzing the position of driver's face, once the driver's face disappeared in a reasonable area, the system will regard it as inattentive driving. When the acts of inattentive driving occurred, the system will generate warning signals through a buzzer or other devices to draw the driver's attention to notice on his driving. This system has been implemented on low-cost DSP platform and it can be installed efficiently on varied kind of vehicles.