公开(公告)号：EP4293592A1

公开(公告)日：2023-12-20

申请号：EP23179090.8

申请日：2023-06-14

申请人： Tata Consultancy Services Limited

发明人： MUKHERJEE, JAYANTA ,  DAS, RAHUL ,  PATI, BISWANATH ,  SELVARAJ, ARAVIND

IPC分类号： G06Q10/087 ,  G06F18/243 ,  G06V10/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/82

摘要： Planograms are used to create consistency between store locations, to provide proper shelf space allocation, to improve visual merchandising appeal, and to create product-pairing suggestions. Existing solutions do not have a way to accurately estimate the scale of magnification of the object in the shelf image, so unable to distinguish between size variants of the same product. A system and method for facilitating planogram compliance for inventory management in a retail store have been provided. The scales are calculated with use of a vector convergence technique followed by a center clustering which automatically removes outliers. Initially disclosure comprises calculation of scales and centers, then generation of region proposals using those scales and centers, Next, classification of the regions proposed and generation of similarity scores, and on the basis of similarity scores conflict resolution is performed among overlapped region proposals using non-maximal suppression.

公开(公告)号：EP4432122A1

公开(公告)日：2024-09-18

申请号：EP24162330.5

申请日：2024-03-08

申请人： Tata Consultancy Services Limited

发明人： PATI, BISWANATH ,  DAS, RAHUL ,  SELVARAJ, ARAVIND ,  MUKHERJEE, JAYANTA

IPC分类号： G06F16/532 ,  G06F16/583

CPC分类号： G06F16/532 ,  G06F16/5838

摘要： In apparel search context, process of finding a similar item out of thousands of other items is a cumbersome and computationally heavy process. In order to build a deep learning model that can perform the similarity search, hundreds of training images per Stock Keeping Unit (SKU) are required. Due to shortage of training data, this approach fails to generate a deep learning model that can perform the similarity search in intended manner. The existing approaches may also require domain experts to perform classification of apparels, so as to generate the training data. The method and system disclosed herein provide an approach in which positive images and negative images are generated from each query image, which in turn are used for generating a training data. The training data is then used to generate a deep learning model, which is used to perform the similarity search.