搜索资源列表
code
- 基于视频图像处理 的驾驶员疲劳驾驶检测博士生学术论文-Doctoral papers based on the processing of video image processing driver fatigue driving detection
Real-time-Stage-1-Sleep-Detection
- 主要介绍了脑电波的发展及其应用,通过对脑电波进行采集,对驾驶员疲劳程度进行检测。-Introduces the development and application of brain waves, brain waves through the acquisition, the driver fatigue detection.
pilaojiashi
- 基于脑电波与人眼特征的疲劳驾驶检测系统的设计,详细讲述了人脸检测、人眼定位及最后的识别,对初学者有很好的参考价值-Driver fatigue detection system designed brainwaves features based on the human eye, a detailed account of the face detection, eye location and the final recognition of the value of a good refe
driver-fatigue-detection-system
- 基于FPGA的疲劳驾驶检测系统设计。本系统集图像采集、存储、算法处理、报警于一体。利用FPGA并行处理数据的特 点使系统检测速度达到了视频源25帧/秒的速度,满足了实时性要求。该系统检测准确 率较高、体积小、功耗小、成本低,市场前景广阔。-Driver fatigue detection system based on FPGA design. The system combines image acquisition, storage, processing algorithms an