| Summary: | 碩士 === 國立中央大學 === 機械工程學系在職專班 === 104 === In this study, a smartphone lens substituted additional camera in capturing images under National Instrument LabVIEW® development environment to achieve a driving fatigue supervision system based on eye blink analysis. First, the system extracts Saturation and Hue plane from RGB image. In order to reduce the light impact, an automatic binarization with NiBlack threshold was introduced to stack images through multiple algorithms before extract complete face area with Convex Hull. The system also extracted Luminance plane afterward from RGB image with the same binarization through multiple algorithms to filter eye part out and discriminate number of particles (NoP) with Heywood Circularity. Then the system extracted eyes region further on upper half of face for reducing possible noises after a complete face extraction. Subsequently, a set of Boolean Accumulator was developed for judging fatigue driving, and reduce possible failures due to high-speed Boolean signal capturing. At last, the system released both visual and auditory warnings simultaneously by a computer to alert drivers of avoiding fatigue driving when NoP is less than 2.
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