{"title":"Planogram Design Analytics using Image Processing","authors":"Eesha Goel, Kulbhushan Sharma","doi":"10.1109/Indo-TaiwanICAN48429.2020.9181341","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":171125,"journal":{"name":"2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN)","volume":"69 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Indo-TaiwanICAN48429.2020.9181341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
平面图是零售商店视觉营销的工具。它显示零售商店的详细视图,主要目的是放置产品。平面图对于检查销售点非常有用,因为它展示了产品的准确定位。在规划商店布局时,有两个主要的好处,比如最大化零售商店的销售和空间。规划管理的一个重要部分是读取规划图纸和图像,并将其转换为CSV或数据库格式的表示数据。在本部分中,分别使用Connectionist text Proposal Network和Convolutional Recurrent Neural Network深度学习模型,利用OpenCV对图像进行轮廓分析,结合文本检测和识别。所提出的方案设计分析系统是利用实际数据实现的。客户已经根据不同的案例测试了系统。从他们那里得到的反馈确认系统满足了他们的要求。
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.