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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Research on the Application of Intelligent Detection Technology in Business Hall System
verfasst von : Xueming Qiao, Xiaohui Liu, Pengfei Zheng, Yingxue Xia, Haifeng Sun, Rongning Qu, Weiguo Tian, Dongjie Zhu
Erschienen in: Advances in Artificial Intelligence and Security
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Abstract
The existing offline business halls are unable to accurately identify customers for accurate marketing, and lack effective detection mechanisms for some abnormal behaviors, and cannot assist security personnel such as security personnel in the security work. The successful application of face recognition technology in the payment field makes it feasible to apply it in offline systems of business halls, and the development of behavior detection technology based on computer vision also makes us actively explore its application in offline scenarios of business halls. Therefore, we researched the application of intelligent detection technology including dynamic face recognition technology and behavior detection technology in offline systems of business halls, designed and implemented a prototype system based on this technology, and tested it in real scenarios. The experimental results show that it is feasible to apply the intelligent detection technology to the offline service system of the business hall.