搜索资源列表
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- 基于DSP的驾驶疲劳检测系统 非常好的设计资料 -DSP-based driver fatigue detection system is very good design information
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- 基于视觉的疲劳驾驶监测关键技术研究 非常好的设计资料 -Vision-based driver fatigue monitoring of critical technology research design very good information
tireness_check
- 实时采集PC机的摄像头数据。可以检测被测试人眼睛的状态（睁眼或闭眼）；进行疲劳判断。可应用到驾驶员疲劳检测中。-Real-Time Data Acquisition PC-camera data. Person being tested can detect the eyes of the state (eyes open or closed) carried out to determine fatigue. Can be appl
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- 图像处理算法，防疲劳驾驶图像处理算法，防疲劳驾驶-Image processing algorithm, anti-fatigue driving image processing algorithm, anti-fatigue driving
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- 图像处理，前端数据通过摄像头获取，后端对图像进行处理，防止疲劳驾驶-Image processing, front-end data access through the camera, the back-end image processing, to prevent fatigue driving
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- 人脸检测图像算法，定位人眼，防止疲劳驾驶-Human face detection algorithm image, positioning the human eye, to prevent fatigue driving
92522019
- 台湾的论文，关于如何侦测疲劳驾驶的系统设计，内容比较详细-Taiwan' s thesis, on how to detect fatigue driving system design, more detailed content
Information_integration
- 基于数字图像的嵌入式驾驶疲劳的信息融合技术，采用的是改进型DS证据理论的信息融合算法，在决策层上进行融合-Embedded digital image based on the fatigue of driving the integration of information technology, using the improved DS evidence theory of information fusion algorithm
designofdrowsinessdetectionsystembasedondsp
- 本文描述了一个基于TI 公司高速图像处理芯片TMS320DM642 的疲劳检测预警系统， 用以判定驾驶员的疲劳程度，降低交通事故-This paper describes a drowsiness detection system based on High-speed DSP—TMS320DM642 from TI Inc
EyeLocationMethodforDriverFatigueDetectioninDualSp
- ：驾驶疲劳可以从眼睛的状态中反映出来，而眼睛定位是判断眼睛状态的关键。为解决眼睛定位实时性和头部旋转不确定性问题，该文提出一种基于双空间的眼睛定位方法：-】Drowsy driving can be detected by the eye states. Eye location is the key problem for eye states detection. In order to improve real-timeperfo
EyePosition
- 利用灰度做的一个人眼跟踪程序，对疲劳驾驶的初学者有一定的帮助。-Gray made use of a human eye tracking procedures, fatigue driving, be helpful for beginners.
Y1237622[1]
- 疲劳驾驶方面的论文，基于opencv。里面实现了硬件设计和详细的软件设计过程 -Fatigue driving of the paper, based on opencv. Which implements the detailed hardware design and software design process
detectdriverfatigue
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法-Images by the human eye to detect driver fatigue is the main driving direction, face and eye location is the key link. For driver
Monitoring-drice
- 基于神经网络的防疲劳驾驶的论文，有较高的参考价值-Neural network-based anti-fatigue driving the paper, a high reference value
检测疲劳驾驶(有详细说明)
- 用于人脸识别，检测驾驶员人员是否疲劳，在现实中有很好的应用，其算法简单易懂，适合初学者(For face recognition, detection of driver fatigue, in reality has a very good application, the algorithm is simple, easy to understand, suitable for beginners)
NLPLibSVM
- 基于安卓开发的疲劳驾驶检测系统, 可以用于识别人脸, 并判断人是否处于疲劳状态(A fatigue driving testing system based on Android, which can be used to identify faces and determine whether a person is in a state of fatigue.)
疲劳驾驶检测-matlab程序
- 实现视频疲劳检测，通过判断嘴和眼睛。基于matlab实现的(Realization of video fatigue detection)
MATLAB疲劳检测系统（GUI界面）
- 1.基本内容 本设计目标在于利用Matlab强大的图像处理能力和实用便捷的编程方法，通过处理包含人脸的视频帧系列图像，灰度积分投影技术的眼睛定位方法，进而利用perclos计数，计算眨眼率，从而得到比较准确的疲劳状况。 2.具体要求 本设计基于灰度积分投影技术的眼睛定位方法，再结合perclos技术。首先通过图像预处理技术得到灰度分配较为均匀的图像,然后分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实
MATLAB疲劳检测系统[自己视频]
- 本设计为基于MATLAB的疲劳检测识别，可应用于疲劳驾驶监测，专注度检测等应用。本设计带有GUI可视化界面，自行录制好视频后，读取视频，分帧，读取每一帧影像，计算其眼睛张合度及嘴巴张合度，通过这2个参数来判断是否疲劳。(This design is based on MATLAB fatigue detection and recognition, can be applied to fatigue driving monitoring