Conference Article

·2017

A survey of product recognition in shelf images

Ceren Gülra Melek YTU , Elena Battini Sönmez , Songül Albayrak YTU

2017 International Conference on Computer Science and Engineering (UBMK)

Abstract

Nowadays, merchandising is one of the significant method which allows to increase the sales. Therefore, activities such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously have become important. An autonomous system is needed to automate operations such as product or brand recognition, stock tracking and planogram matching. In the literature, it is seen that many studies have been carried out in order to address this issue. This survey classifies and compares all existing works with the aim to guide researchers working on merchandising.

Keywords

Computer science Product (mathematics) Off the shelf Computer vision Artificial intelligence Mathematics Software engineering Geometry

Subject Areas

Food Supply Chain Traceability ·Food Science ·Life Sciences
Industrial Vision Systems and Defect Detection ·Industrial and Manufacturing Engineering ·Physical Sciences
Image Retrieval and Classification Techniques ·Computer Vision and Pattern Recognition ·Physical Sciences

Citations by Year