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 …

Fine-grained image analysis with deep learning: A survey

XS Wei, YZ Song, O Mac Aodha, J Wu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …

Deep learning in barcode recognition: A systematic literature review

R Wudhikarn, P Charoenkwan, K Malang - IEEE Access, 2022 - ieeexplore.ieee.org
The use of deep learning (DL) for barcode recognition and analysis has achieved
remarkable success and has attracted great attention in various domains. Unlike other …

[HTML][HTML] Technology roadmap of AI applications in the retail industry

HP Lu, HL Cheng, JC Tzou, CS Chen - Technological Forecasting and …, 2023 - Elsevier
New retail, an online-merge-offline system with artificial intelligence (AI) applications,
became popular after the COVID-19 pandemic. This research introduces a novel technology …

[HTML][HTML] Enhanced self-checkout system for retail based on improved YOLOv10

L Tan, S Liu, J Gao, X Liu, L Chu, H Jiang - Journal of Imaging, 2024 - mdpi.com
With the rapid advancement of deep learning technologies, computer vision has shown
immense potential in retail automation. This paper presents a novel self-checkout system for …

[PDF][PDF] Personalized recognition system in online shop** by using deep learning

MD Venkata, P Donda, NB Madhavi… - … on Internet of …, 2024 - pdfs.semanticscholar.org
This study presents an effective monitoring system to watch the Buying Experience across
multiple shop interactions based on the refinement of the information derived from …

Brain-gcn-net: Graph-convolutional neural network for brain tumor identification

E Gürsoy, Y Kaya - Computers in Biology and Medicine, 2024 - Elsevier
Background: The intersection of artificial intelligence and medical image analysis has
ushered in a new era of innovation and changed the landscape of brain tumor detection and …

An accurate generation of image captions for blind people using extended convolutional atom neural network

T Tiwary, RP Mahapatra - Multimedia Tools and Applications, 2023 - Springer
Recently, the progress on image understanding and AIC (Automatic Image Captioning) has
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …

Mep-3m: A large-scale multi-modal e-commerce product dataset

F Liu, D Chen, X Du, R Gao, F Xu - Pattern Recognition, 2023 - Elsevier
The product categories are vital for the E-commerce platforms due to the core applications
on automatic product category assignment, personalized product recommendations, etc. In …

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks

Z Liu, Q Wang, F Meng - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Automatic object counting and object size estimation in digital images can be very useful in
many real-world applications such as surveillance, smart farming, intelligent traffic systems …