Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review
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 …
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 …
in large retail departments, the client has to make his purchase decisions independently …
AI safety of film capacitors
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
distinctive visual representations and exhibiting strong generalization across diverse vision …