基于Python生态的驾驶员行为识别系统研究

Research on Driver Behavior Recognition System Based on Python Ecology

研究人员发现交通事故发生的主观原因除了与驾驶员的道路安全意识淡薄有关,还与司机驾驶行为失当有关。文章旨在设计驾驶员行为分析和预警的软件系统,识别驾驶员面部和手部行为动作,达到对驾驶员行为安全预警的目的。该系统基于Python语言生态,辅以PyTorch深度学习框架、OpenCV计算机视觉库等各类图像处理模块设计而成,实现了识别驾驶员行为。

The researchers found that the subjective causes of traffic accidents are mostly related to the drivers'weak awareness of road safety.In addition,improper driving behavior of drivers is also an important cause of accidents.The purpose of this paper is to design a software system for driver behavior analysis and early warning,aiming at the recognition of drivers'facial and hand behaviors,so as to achieve the purpose of driver behavior safety warning.This system is based on Python language ecology,supplemented by PyTorch deep learning framework,OpenCV computer vision library and other image processing modules,and realizes the prototype design of driver behavior recognition system.