Development of consumers management system via face classification
To improve consumer experience and overall retail management, physical retailers may adapt consumer behaviour management systems using artificial intelligence to imitate the capability of consumer behaviour tracking in online shopping into physical retail. The proposed consumer behaviour management...
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Online Access: | http://eprints.utm.my/id/eprint/97489/1/UswahKhairuddin2020_DevelopmentofConsumersManagementSystem.pdf http://eprints.utm.my/id/eprint/97489/ http://dx.doi.org/10.15282/mekatronika.v2i2.6750 |
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my.utm.974892022-10-10T08:32:40Z http://eprints.utm.my/id/eprint/97489/ Development of consumers management system via face classification Khairuddin, Uswah Suhardi, Nurul Izzati T58.6-58.62 Management information systems TK Electrical engineering. Electronics Nuclear engineering To improve consumer experience and overall retail management, physical retailers may adapt consumer behaviour management systems using artificial intelligence to imitate the capability of consumer behaviour tracking in online shopping into physical retail. The proposed consumer behaviour management system consists of two parts - face recognition and consumer tracking at an area of interest. Both will be combined to produce a summary of individual customer’s visits to the shop. This information can be used to improve consumers experience and optimize retailer’s management. The developed system can track consumers’ movement inside the shop and summarize their whereabouts according to areas of interest. The face classification system via FaceNet has around 56.67% accuracy with 27.89% mean confidence. The tracking performance shows a consistent performance with a total standard deviation of 4.36 seconds. With the consumers’ analysis graph, retailers may pinpoint which area that was always frequented by their customers and take suitable actions with that information. Penerbit UMP 2020-07 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97489/1/UswahKhairuddin2020_DevelopmentofConsumersManagementSystem.pdf Khairuddin, Uswah and Suhardi, Nurul Izzati (2020) Development of consumers management system via face classification. Mekatronika, 2 (2). pp. 44-48. ISSN 2637-0883 http://dx.doi.org/10.15282/mekatronika.v2i2.6750 DOI:10.15282/mekatronika.v2i2.6750 |
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T58.6-58.62 Management information systems TK Electrical engineering. Electronics Nuclear engineering Khairuddin, Uswah Suhardi, Nurul Izzati Development of consumers management system via face classification |
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To improve consumer experience and overall retail management, physical retailers may adapt consumer behaviour management systems using artificial intelligence to imitate the capability of consumer behaviour tracking in online shopping into physical retail. The proposed consumer behaviour management system consists of two parts - face recognition and consumer tracking at an area of interest. Both will be combined to produce a summary of individual customer’s visits to the shop. This information can be used to improve consumers experience and optimize retailer’s management. The developed system can track consumers’ movement inside the shop and summarize their whereabouts according to areas of interest. The face classification system via FaceNet has around 56.67% accuracy with 27.89% mean confidence. The tracking performance shows a consistent performance with a total standard deviation of 4.36 seconds. With the consumers’ analysis graph, retailers may pinpoint which area that was always frequented by their customers and take suitable actions with that information. |
format |
Article |
author |
Khairuddin, Uswah Suhardi, Nurul Izzati |
author_facet |
Khairuddin, Uswah Suhardi, Nurul Izzati |
author_sort |
Khairuddin, Uswah |
title |
Development of consumers management system via face classification |
title_short |
Development of consumers management system via face classification |
title_full |
Development of consumers management system via face classification |
title_fullStr |
Development of consumers management system via face classification |
title_full_unstemmed |
Development of consumers management system via face classification |
title_sort |
development of consumers management system via face classification |
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Penerbit UMP |
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2020 |
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http://eprints.utm.my/id/eprint/97489/1/UswahKhairuddin2020_DevelopmentofConsumersManagementSystem.pdf http://eprints.utm.my/id/eprint/97489/ http://dx.doi.org/10.15282/mekatronika.v2i2.6750 |
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