Work

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

Year: 2024

Type: conference-paper

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.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3697423

Authors: Lien-Wu Chen, Ping-Hung Huang

Institution: Feng Chia University

Language: English

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science and Technology Council

Awards: G1554840798, G4987699423