基于人脸识别的轨道交通模拟驾驶考核方案研究  

Research on Simulated Driving Assessment Scheme of Rail Transit Based on Face Recognition

作　　者：宋志强 夏鹤峰 SONG Zhiqiang;XIA Hefeng(Ningbo Vocational and Technical Education Center School,Ningbo Zhejiang 315000,China)

机构地区：[1]宁波市职业技术教育中心学校,浙江宁波315000

出　　处：《智能计算机与应用》2020年第11期187-189,共3页Intelligent Computer and Applications

摘　　要：本文设计了适用于轨道交通模拟驾驶环境的人脸识别系统;提出了利用人脸识别系统的模拟驾驶考核机制;对比了开启人脸识别功能前后的考核时间。研究结果表明,利用人脸识别系统,可以有效缩短考勤签到时间,优化教学人员的人数配置;完善教学及考核的线上操作流程,提高信息化建设水平;建立考核后的再学习机制,有利于进行视频教学及纠错分析。对进一步完善轨道交通模拟驾驶教学及考核有一定的贡献。The paper designs the application process of the face recognition system suitable for the simulated driving environment of rail transit,proposes a simulated driving assessment mechanism using the face recognition system,and compares the assessment time when the face recognition function is turned on.The research results show that the use of the face recognition system can effectively shorten the attendance check-in time,significantly optimize the number of teaching staff;improve the online operation process of teaching and assessment,and improve the level of information construction;establish a re-learning mechanism after the assessment.Conducive to video teaching and error correction analysis.The work of the thesis has a certain contribution to the further improvement of rail transit simulation driving teaching and assessment.

关 键 词：轨道交通 模拟驾驶 人脸识别 考核效率 信息化建设 

分 类 号：U279.3[机械工程—车辆工程]