Planogram Design Analytics using Image Processing

摘要

A planogram is a tool for visual merchandising of retail stores. It displays a detailed view of the retail store with the major intent for product placement. The planogram is highly useful for examining the point of sale as it demonstrates the exact positioning of products. Two major benefits are there for building planograms while planning the store layout such as maximizing sales and space of the retail store.An important part of Planogram management is to read planogram drawings and images and convert these to representational data in CSV or database formats.In this part, Contour analysis of image using OpenCV along with combination of text detection and recognition is performed using Connectionist Text Proposal Network and Convolutional Recurrent Neural Network deep learning models respectively. The proposed planogram design analytics system is implemented using real data. The customer had tested the system as per different cases. The feedback obtained from them confirms that the system meets the requirements to their satisfaction.