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Python code to detect Drowsiness - Yawn and alert the user using Dlib.
Drowsy/Sleepy Driver Detection Using Raspberry Pi and Pi Camera.
A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a…
Part I videos: Quick Start from weidongshan's Linux video Tutorials
该课题为基于matlab眼部检测的疲劳驾驶系统。我们可以假设有一部摄像头对着大巴司机或者或者司机，对司机进行实时的监测，每隔数秒进行一次疲劳的判别，如果说疲劳驾驶则进行报警或者提示司机。检测方法为先进行人脸定位，在寻找眼睛再去判别眼睛属于睁开还是闭住。去统计闭眼的频率。
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Updated Jan 22, 2022
一款防止疲劳驾驶的神奇APP，通过部分由自己设计的算法，对驾驶员进行表情的分析和检测，判断是否疲劳驾驶。
"We employ the SSD object detection algorithm to determine whether the driver is drowsy (by analyzing eye closure or mouth opening) or engaged in distracting behaviors like smoking or using a phone…
疲劳驾驶和危险驾驶识别
利用SSD目标检测算法判断是否闭眼或者张开嘴和吸烟打电话等手势行为，通过PERCLOS准则判断是否疲劳等等，功能涵盖7类情绪识别，眨眼判断，哈欠判断，吸烟，打电话等，达到危险驾驶检测的功能
利用SSD目标检测算法判断是否闭眼或者张开嘴和吸烟打电话等手势行为，通过PERCLOS准则判断是否疲劳等等，功能涵盖7类情绪识别，眨眼判断，哈欠判断，吸烟，打电话等，达到危险驾驶检测的功能
基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
本科毕设内容：基于卷积神经网络的疲劳驾驶检测。
基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态
A GPS bicycle speedometer that supports offline maps and track recording