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作 者:马宇轩 潘纬航 廖腾烈 全爔宇 李咏楠 MA Yuxuan;PAN Weihang;LIAO Tenglie;QUAN Xiyu;LI Yongnan(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China)
机构地区:[1]中国民航大学电子信息与自动化学院,天津300300
出 处:《现代信息科技》2022年第1期25-27,31,共4页Modern Information Technology
摘 要:随着社会经济的飞速发展,人们在生活水平提高的同时安防意识也不断增强,推动了深度学习技术的成熟与发展,现如今已广泛应用于公共安全、安防系统、身份识别等领域。文章对机场危险人员监控告警系统进行了研究,该系统基于百度AI,在云AI上建立危险人员用户组,利用摄像头扫描人脸并通过平衡车Wi-Fi模块上传人脸图像,将其与数据库进行匹配,识别危险人群并发出警告。该系统以可移动平衡车为载体,平衡车在机场内自主巡航时对机场环境进行监控,严防潜在危险人员对机场的安全造成威胁。With the rapid development of social economy,while people’s living level is improving,their security awareness is also increasing,which promotes the maturity and development of in-depth learning technology.Now it has been widely used in the fields of public security,security system,identity recognition and so on.This paper studies the airport dangerous person monitoring and warning system.The system is based on Baidu AI,establishes a dangerous person user group on cloud AI,scans person’s face with the camera,uploads the face image through the Wi-Fi module of the balance vehicle,matches it with the database,identifies the dangerous person group and issues a warning.The system takes the mobile balance vehicle as the carrier.When the balance vehicle cruises independently in the airport,it monitors the airport environment to prevent potential dangerous personnel from threatening the safety of the airport.
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