Research on key technologies of intelligent transportation based on image recognition and anti-fatigue driving

• DOI: 10.1186/s13640-018-0403-6
• Publication Date: 2019-02-04T12:03:23Z
• Authors: Jun Wang; Xiaoping Yu; Qiang Liu; Zhou Yang
• Keywords: Feature (linguistics)

Intelligent transportation system needs to solve the main problems in traffic safety. This paper focuses on safety caused by fatigue driving based image recognition of key technologies for research and analysis. proposes that location face facial feature points classification detection are links determine rate. In analysis localization algorithm skin color modeling, a corner-based optimization method is proposed optimize region. Based binary human eye algorithm, bi-directional integral projection achieve accurate localization. Then commonly used (KNN algorithm) analyzed. Finally, verified simulation test driving. Experimental results show modeling can accurately locate driver's The two-valued also tester accurately. accuracy KNN model 87.82%. It identify state with high accuracy.