METHODS AND MEANS OF TRACKING THE MOVEMENT AND INTERACTION OF EMPLOYEES AND CUSTOMERS BY VIDEO IMAGE

Abstract

Due to the rapid development of the sphere of trade, the means of automatic control of the work of employees providing services to customers are gaining particular popularity. At the moment, there are many modern approaches, methods and algorithms for automatically tracking buyers and sellers in the store. Modern companies are trying to solve this problem in different ways: counting visitors, monitoring devices, various neural network solutions, and so on. After reviewing the solutions with the necessary functionality, the main disadvantages were identified, such as, for example, high cost, inconvenience in use, and so on. As a result, the authors set a goal: to improve the quality of tracking the movement of employees / customers through the development of automated means and methods of movement control, inter-chamber tracking and identification of the individual. The article describes a method for automatic recognition and tracking of employees of stores and firms. The method is based on a cascade of neural networks and algorithms that allow recognizing customers and employees in uniform, as well as evaluating the quality of employees' work and customer satisfaction by voice. As the results of the research, this article presents models and methods for classifying customers and sellers by uniform, methods for determining the level of interaction between sellers and customers based on algorithms for determining the satisfaction of visitors and customers by voice and face, and algorithms for determining the quality of employees' work. The developed methods can improve the efficiency of employees, as well as increase the quality of services provided. Based on the results of the work, testing was carried out and a conclusion was made about the satisfactory performance of the presented methods and algorithms.