ALGORITHM FOR PRIMARY OBJECT RECOGNITION IN THE WAREHOUSE MANAGEMENT SYSTEM

Abstract

This article examines the peculiarities of warehouse management systems and presents the principles and implementation of an in-house software system for warehouse management using computer vision technology. A structural diagram of the application is developed, which consists of eight modules: image capture service, image storage, computer vision service, database, API server, client application, task scheduler, and task queue. The architecture is designed based on cloud technologies, namely Google Cloud Platform. A computer vision algorithm for determining the state of cells in the warehouse is proposed. A functional software product based on modern technologies has been developed. The purpose of this article is to reflect the results of the study of the subject area of warehouse management systems and to highlight the results of the implementation of a proprietary software system using computer vision. Keywords: Python, OpenCV, computer vision, Google Cloud, warehouse management system, cloud computing, serverless computing.