Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review

CG Melek, EB Sönmez, S Varlı - Engineering Applications of Artificial …, 2024 - Elsevier
A product recognition system recognizes all products on the shelf images and determines
their positions. A business equipped with an automatic product recognition system has a …

[HTML][HTML] A review of recent advances and challenges in grocery label detection and recognition

V Guimarães, J Nascimento, P Viana, P Carvalho - Applied Sciences, 2023 - mdpi.com
When compared with traditional local shops where the customer has a personalised service,
in large retail departments, the client has to make his purchase decisions independently …

AI safety of film capacitors

YX Zhang, FY Chen, DF Liu, JX Wang… - IET …, 2023 - Wiley Online Library
With a large number of film capacitors being deployed in critical locations in electrical and
electronic systems, artificial intelligence (AI) technology is also expected to address the …

[HTML][HTML] Shelf Management: A deep learning-based system for shelf visual monitoring

R Pietrini, M Paolanti, A Mancini, E Frontoni… - Expert Systems with …, 2024 - Elsevier
Shelf monitoring plays a key role in optimizing retail shelf layout, enhancing the customer
shopping experience and maximizing profit margins. The process of automating shelf audit …

[HTML][HTML] Multimodal fine-grained grocery product recognition using image and OCR text

T Pettersson, M Riveiro, T Löfström - Machine Vision and Applications, 2024 - Springer
Automatic recognition of grocery products can be used to improve customer flow at
checkouts and reduce labor costs and store losses. Product recognition is, however, a …

Embedded Vision System for Real-Time Shelves Rows Detection for Planogram Compliance Check

R Pietrini, A Galdelli, A Mancini… - … and Information in …, 2023 - asmedigitalcollection.asme.org
In retail environment monitor store shelves is a key factor for retailers and brands to provide
the best customer shopping experience and maximize sales. Computer vision and deep …

Recognition of expiry data on food packages based on improved DBNet

J Zheng, J Li, Z Ding, L Kong, Q Chen - Connection Science, 2023 - Taylor & Francis
To prevent products with missing character information from reaching the market,
manufacturers need an automatic character recognition method. One of the key problems of …

Small-scale simulator on common warehouse components for low-power object detection methods

M Desmarescaux, W Kaddah, A Alfalou… - … and Tracking XXXV, 2024 - spiedigitallibrary.org
When building or renovating a warehouse, a brainstorming phase is required to discuss
robotic automation. Indeed, in order to achieve optimal performances, enhancements to the …

[PDF][PDF] Explainable Local and Global Models for Fine-Grained Multimodal Product Recognition

T Pettersson, M Riveiro… - … with 29th ACM …, 2023 - multimodal-kdd-2023.github.io
Grocery product recognition techniques are emerging in the retail sector and are used to
provide automatic checkout counters, reduce self-checkout fraud, and support inventory …

[PDF][PDF] Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data

Contrastive Language-Image Pre-training (CLIP) has shown its proficiency in acquiring
distinctive visual representations and exhibiting strong generalization across diverse vision …