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Design of ADSP-BF548 fatigue driving detection system based on eye features

机译:基于眼睛特征的ADSP-BF548疲劳驾驶检测系统设计

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To avoid traffic accidents caused by fatigue driving, this paper utilizes fatigue detection algorithm based on eye features to transplant on ADSP-BF548 hardware platform. The camera captures driver's face video in real time; it localizes driver's eye position and status via frame-difference projection, template matching and Kalman methods. At last, make a warning if driver's eye-close time proportion is more than the threshold in a period of time. The experiment shows this driver fatigue detection system based on ADSP-BF548 is of high accuracy and real-time.
机译:为了避免疲劳驾驶引起的交通事故,本文采用基于眼睛特征的疲劳检测算法,将其移植到ADSP-BF548硬件平台上。摄像机实时捕获驾驶员的面部视频;它通过帧差投影,模板匹配和卡尔曼方法来定位驾驶员的眼睛位置和状态。最后,如果驾驶员的闭眼时间比例在一定时间内超过阈值,则发出警告。实验表明,该基于ADSP-BF548的驾驶员疲劳检测系统具有较高的准确性和实时性。

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