Online secure store management system by face recognition authentication

Areerat Songsakulwattana, P. Suesaowaluk, Supanit Angsirikul
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Abstract

This paper presents target on the security of store management system from unauthorised access control using face recognition. We propose a service system which is composed of three modules in order to work cooperatively: the store management for multiple locations warehouses provides the location maps; the process of goods withdrawal by confirming biometric face identity; and the module for data analytics to provide statistic report of warehouses store based on individual, date, time and location of the warehouse, where goods are requested. The system is designed in a form of web application to support the organisation with the accuracy and security for the stakeholders who are involved in store management task. The results contribute to producing a certain level of information to suit data analytics, and that it can be beneficial to support managerial decision-making in enhancing business performance.
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网上安全商店管理系统通过人脸识别认证
本文提出了利用人脸识别技术实现店铺管理系统的安全防范。为了协同工作,我们提出了一个由三个模块组成的服务系统:仓库管理为多地点仓库提供位置图;通过确认生物识别人脸身份的提货过程;数据分析模块,根据个人、日期、时间和仓库的位置,提供仓库存储的统计报告。该系统以web应用程序的形式设计,为参与商店管理任务的利益相关者提供准确性和安全性的支持。结果有助于生成适合数据分析的一定级别的信息,并且有助于支持管理决策以提高业务绩效。
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