公交智能预警系统的设计与实现  

Design and Implementation of Intelligent Early Warning System for Public Transport

作　　者：林志金 陈书明 麻延沁 甘少龙 郑孝鹏 LIN Zhijin;CHEN Shuming;MA Yanqin;GAN Shaoong;ZHENG Xiaopeng(College of Mathematics and Information Engineering,Longyan University,Longyan,China,364000)

机构地区：[1]龙岩学院数学与信息工程学院,福建龙岩364000

出　　处：《福建电脑》2023年第9期109-112,共4页Journal of Fujian Computer

基　　金：福建省大学生创新创业项目(No.202211312055)资助。

摘　　要：为了提升公交车辆安全运营系数、保障广大乘客安全,对公交预警系统进行研发是非常必要的。本文采用机器学习算法、传感器技术等相关技术设计出一套公交智能预警系统,可以有效地实现人脸识别、人脸跟踪、异常行为分析、危险警报等功能。实验结果表明,采用该方法可以有效地避免公交安全事故,大大地降低了公交危险系数。In order to improve the safety operation coefficient of public transportation vehicles and ensure the safety of passengers,the development of public transportation warning systems is very necessary.This article adopts machine learning algorithms and sensor technology to design an intelligent warning system for public transportation,which can effectively achieve facial recognition,facial tracking,abnormal behavior analysis,and danger warning.The experimental results show that the system can effectively avoid public transportation safety accidents and greatly reduce the risk factor of public transportation.

关 键 词：智能预警 人脸识别 人脸跟踪 危险警报 

分 类 号：TN6[电子电信—电路与系统]