Title: Online secure store management system by face recognition authentication

Authors: Areerat Songsakulwattana; Poonphon Suesaowaluk; Supanit Angsirikul

Addresses: College of Digital Innovation Technology, Rangsit University of Thailand, Thailand ' Graduate School of Advanced Technology, Management Assumption University of Thailand, Thailand ' College of Digital Innovation Technology, Rangsit University of Thailand, Thailand

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.

Keywords: online store management system; face recognition; security management.

DOI: 10.1504/IJSHC.2021.116907

International Journal of Social and Humanistic Computing, 2021 Vol.4 No.1, pp.70 - 83

Received: 07 Dec 2020
Accepted: 03 Feb 2021
Published online: 05 Aug 2021 *

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