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基于人脸识别的校园人流量统计系统设计与实现 被引量:2

Systematic Design and Software Development of Campus Traffic Statistics Based on Face Recognition
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摘要 为充分发挥数据价值,进一步提高资源利用率,针对大学校园人员通行精准管理要求,整合学校现有与人脸识别相关的硬件设施和业务系统,通过二次开发设计并实现了一种基于人脸识别的校园人流量统计分析系统。系统基于学校企业微信设计开发,并通过调用人脸识别平台提供的授权API接口,实现人脸照片评分及人脸模型下发与删除策略控制;针对不同的人员统计分析需求,对人脸识别通行数据进行采集和分析,以图表形式进行数据BI展示,并通过企业微信将分析结果推送至用户,以满足人员统计分析的实时性、准确性需求,为校园疫情管控管理等提供数据参考。 To make good use of data and improve its utilization, the existing hardware facilities and face-recognition related business systems are consolidated to design and develop a system for statistics and analysis by secondary development so as to achieve accurate management of personnel in and out of the uni versity campus. Based on the Enterprise Wechat, the system realizes the scoring of face photos and the distribution and deletion policy control of face models by calling the authorized API provided by the face recognition platform. To do the statistical analysis of different personnel, the data of traffic flow based on face recognition are collected and analyzed. Displayed in the form of charts, the statistical and analytical data are posted onto Enterprise Wechat for users to obtain the real-time and accurate information, which provide data reference for colleges to prevent and control the spread of the epidemic.
作者 韩燕 高晓东 季荣军 周建 HAN Yan;GAO Xiao-dong;JI Rong-jun;ZHOU Jian(School of Electronic Information,Jiangsu Vocational College of Business,Nantong 226001,China;Security Office,Jiangsu College of Engineering and Technology,Nantong 226007,China;Department of Software Development,Jiangsu Bairui Information Engineering Co.,Ltd,Nantong 226001,China)
出处 《南通职业大学学报》 2022年第1期76-81,共6页 Journal of Nantong Vocational University
基金 2021年度江苏省现代教育技术研究课题(2021-R-94598) 江苏省高等学校教育技术研究会2021年高校教育信息化研究重点课题(2021JSETKT007)。
关键词 人脸识别 人流量分析 校园管控 数据BI face recognition personnel traffic analysis campus management and control data business intelligence
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