Product recognition for unmanned vending machines

C Liu, Z Da, Y Liang, Y Xue, G Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the emerging concept of “unmanned retail” has drawn more and more attention,
and the unmanned retail based on the intelligent unmanned vending machines (UVMs) …

A Real-Time Application for the Analysis of Multi-Purpose Vending Machines with Machine Learning

Y Cao, Y Ikenoya, T Kawaguchi, S Hashimoto… - Sensors, 2023 - mdpi.com
With the development of mobile payment, the Internet of Things (IoT) and artificial
intelligence (AI), smart vending machines, as a kind of unmanned retail, are moving towards …

Detection of Commodities Based on Multi-Feature Fusion and Attention Screening by Entropy Function Guidance

A Xie, K Xie, HN Dong, JB He - IEEE Access, 2023 - ieeexplore.ieee.org
Although traditional convolutional neural networks (CNN) have been significantly improved
for target detection, they cannot be completely applied to objects with occlusions in …

Smart vending machine experiences, experiential relationship quality and experiential relationship marketing outcomes

HC Wu, SX Chen, YY Chang - The International Review of Retail …, 2022 - Taylor & Francis
This study aims to examine the relationships between the dimensions of smart vending
machine experiences, experiential relationship quality and experiential relationship …

EPformer: an efficient transformer-based approach for retail product detection in fisheye images

Y Yang, H Deng - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Retail product detection in fisheye camera capture scenes frequently suffers from excessive
object occlusion and deformation, as well as difficulty in distinguishing products with small …

BP-YOLO: A Real-Time Product Detection and Shopping Behaviors Recognition Model for Intelligent Unmanned Vending Machine

J Li, F Tang, C Zhu, S He, S Zhang, Y Su - IEEE Access, 2024 - ieeexplore.ieee.org
Intelligent unmanned vending machines (UVMs) based on machine vision have attracted
great attention in the unmanned retail industry. However, due to the complexity of practical …

Measurement Method of Bar Unmanned Warehouse Area Based on Binocular Vision

S Yan, D Xu, H Yan, Z Wang, H He, X Wang, Q Yang - Processes, 2024 - mdpi.com
With the development of Industry 4.0 and the implementation of the 14th Five-Year Plan,
intelligent manufacturing has become a significant trend in the steel industry, which can …

Research on Bargaining Algorithm of Unmanned Vending Machine Based on Game Strategy

X Dong, J Zhang, S Li - IEEE Access, 2023 - ieeexplore.ieee.org
Traditional unmanned vending machines currently do not have the function of bargaining,
and cannot provide consumers with personalized bargaining intelligent services. Based on …

Vision-based automatic order check method for online medicine dispensing cabinet under incomplete data

Y Niu, L Wang, Z Yu, J Huang, B Huang, Y Su - Engineering Applications of …, 2023 - Elsevier
In recent years, computer vision technology has been increasingly used in the retail industry,
especially in unmanned retail. In the online medicine dispensing cabinet where the order …

Anomalous Behavior Detection with Spatiotemporal Interaction and Autoencoder Enhancement

B Li, K Xie, X Zeng, M Cao, C Wen, J He, W Zhang - Electronics, 2023 - mdpi.com
To reduce the cargo loss rate caused by abnormal consumption behavior in smart retail
cabinets, two problems need to be solved. The first is that the diversity of consumers leads to …