Digitalization at the point-of-sale in grocery retail-state of the art of smart shelf technology and application scenarios

M Kellermayr-Scheucher, L Hörandner… - Procedia Computer …, 2022 - Elsevier
Digitalization has been shaping economy and society, one of the areas most affected being
the retail sector. Especially in the context of smart shelf technologies a variety of companies …

Shelf auditing based on image classification using semi-supervised deep learning to increase on-shelf availability in grocery stores

R Yilmazer, D Birant - Sensors, 2021 - mdpi.com
Providing high on-shelf availability (OSA) is a key factor to increase profits in grocery stores.
Recently, there has been growing interest in computer vision approaches to monitor OSA …

Iot sensing platform as a driver for digital farming in rural africa

A Oliveira-Jr, C Resende, A Pereira, P Madureira… - Sensors, 2020 - mdpi.com
Small-scale farming can benefit from the usage of information and communication
technology (ICT) to improve crop and soil management and increase yield. However, in …

Towards intelligent retail: Automated on-shelf availability estimation using a depth camera

A Milella, A Petitti, R Marani, G Cicirelli… - IEEE Access, 2020 - ieeexplore.ieee.org
Efficient management of on-shelf availability and inventory is a key issue to achieve
customer satisfaction and reduce the risk of profit loss for both retailers and manufacturers …

Robust shelf monitoring using supervised learning for improving on-shelf availability in retail stores

K Higa, K Iwamoto - Sensors, 2019 - mdpi.com
This paper proposes a method to robustly monitor shelves in retail stores using supervised
learning for improving on-shelf availability. To ensure high on-shelf availability, which is a …

Enhanced Out-of-Stock Detection in Retail Shelf Images Based on Deep Learning

F Šikić, Z Kalafatić, M Subašić, S Lončarić - Sensors, 2024 - mdpi.com
The term out-of-stock (OOS) describes a problem that occurs when shoppers come to a store
and the product they are seeking is not present on its designated shelf. Missing products …

Exploiting egocentric vision on shopping cart for out-of-stock detection in retail environments

D Allegra, M Litrico, MAN Spatafora… - Proceedings of the …, 2021 - openaccess.thecvf.com
Continuous detection and efficient monitoring of Out-Of-Stock (OOS) of products in retail
environments is a key factor to improve stores profits. Traditional methods require labour …

ZEBRA: Explaining rare cases through outlying interpretable concepts

P Madeira, A Carreiro, A Gaudio… - Proceedings of the …, 2023 - openaccess.thecvf.com
Anomaly detection methods can detect outliers, but what are the properties of an outlier? In
this paper, we propose ZEBRA, a novel framework for generating explanations of an outlier …

Designing an efficient end-to-end machine learning pipeline for real-time empty-shelf detection

D Jha, A Mahjoubfar, A Joshi - arXiv preprint arXiv:2205.13060, 2022 - arxiv.org
On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the
fast moving consumer goods and retails sector. When a product is out-of-stock (OOS) and a …

Robust estimation of product amount on store shelves from a surveillance camera for improving on-shelf availability

K Higa, K Iwamoto - … on Imaging Systems and Techniques (IST), 2018 - ieeexplore.ieee.org
This paper proposes a method to robustly estimate product amount on store shelves from a
surveillance camera for improving on-shelf availability. We focus on changes of products on …