Add to ORKGThe present thesis promotes an innovative approach based on modern deep learning and image processing techniques for retail shelf analytics within an actual business context. To achieve this goal, the research focused on recent developments in computer vision while maintaining a business-oriented approach. The project involved the full-stack software development of a product to analyze structured and unstructured data and provide business intelligence services for retail systems
This paper describes a novel system for automating data collection and surveying in a retail store u...
Object detection and recognition are challenging computer vision tasks receiving great attention due...
Autonomous systems for monitoring and surveying are increasingly used in retail stores, since they i...
Taking time to identify expected products and waiting for the checkout in a retail store are common ...
Taking time to identify expected products and waiting for the checkout in a retail store are common ...
Providing high on-shelf availability (OSA) is a key factor to increase profits in grocery stores. Re...
This work proposes a pipeline that aims to recognize the products in a shelf, at the level of the si...
This work proposes a pipeline that aims to recognize the products in a shelf, at the level of the si...
A planogram is the graphical representation of the way a given number of products are positioned wit...
Currently, there have not been many studies on applying deep learning to the field of goods checkout...
Deep learning is a branch of machine learning which itself is a branch of Artificial Intelligence. T...
Taking time to identify expected products and waiting for the check-out in a retail store are common...
This paper describes a novel system for automating data collection and surveying in a retail store u...
Object detection and recognition are challenging computer vision tasks receiving great attention due...
Autonomous systems for monitoring and surveying are increasingly used in retail stores, since they i...
Taking time to identify expected products and waiting for the checkout in a retail store are common ...
Taking time to identify expected products and waiting for the checkout in a retail store are common ...
Providing high on-shelf availability (OSA) is a key factor to increase profits in grocery stores. Re...
This work proposes a pipeline that aims to recognize the products in a shelf, at the level of the si...
This work proposes a pipeline that aims to recognize the products in a shelf, at the level of the si...
A planogram is the graphical representation of the way a given number of products are positioned wit...
Currently, there have not been many studies on applying deep learning to the field of goods checkout...
Deep learning is a branch of machine learning which itself is a branch of Artificial Intelligence. T...
Taking time to identify expected products and waiting for the check-out in a retail store are common...
This paper describes a novel system for automating data collection and surveying in a retail store u...
Object detection and recognition are challenging computer vision tasks receiving great attention due...
Autonomous systems for monitoring and surveying are increasingly used in retail stores, since they i...