NaviEyes: A Rapid Shopping Navigation System with On-Sale Purchase Planning Based on IoT Localization

This paper designs and implements a rapid shopping navigation system, called NaviEyes, to minimize shopping time and maximize purchasing success ratio for hypermarket customers through Internet of Things (IoT) localization. The NaviEyes system can provide a shopping trip with the shortest total moving time to purchase all desired products according the crowd density of each passageway/area. In addition, NaviEyes can plan the proper shopping order and fast moving paths between selected on-sale products to minimize the purchasing risk (i.e., one or more selected on-sale products sold out) through avoiding taking long moving time to purchase a selected product with sufficient instances. An Android-based prototype with video-based indoor localization is implemented to verify the feasibility and performance of our NaviEyes system.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697423
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

NaviEyes: A Rapid Shopping Navigation System with On-Sale Purchase Planning Based on IoT Localization

Lien‐Wu Chen, Pao-Lin Huang
Indoor and Outdoor Localization Technologies
article

NaviEyes: A Rapid Shopping Navigation System with On-Sale Purchase Planning Based on IoT Localization

Lien‐Wu Chen, Pao-Lin Huang
article en

Abstract

This paper designs and implements a rapid shopping navigation system, called NaviEyes, to minimize shopping time and maximize purchasing success ratio for hypermarket customers through Internet of Things (IoT) localization. The NaviEyes system can provide a shopping trip with the shortest total moving time to purchase all desired products according the crowd density of each passageway/area. In addition, NaviEyes can plan the proper shopping order and fast moving paths between selected on-sale products to minimize the purchasing risk (i.e., one or more selected on-sale products sold out) through avoiding taking long moving time to purchase a selected product with sufficient instances. An Android-based prototype with video-based indoor localization is implemented to verify the feasibility and performance of our NaviEyes system.

Feng Chia University (TW)
Openalex Percentile: Top 80%
Indoor and Outdoor Localization Technologies
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