МЕТОДЫ И СРЕДСТВА СЛЕЖЕНИЯ ЗА ПЕРЕМЕЩЕНИЕМ И ВЗАИМОДЕЙСТВИЕМ СОТРУДНИКОВ И ПОКУПАТЕЛЕЙ ПО ВИДЕОИЗОБРАЖЕНИЮ

Abstract

Due to the rapid development of the sphere of trade, the means of automatic control of thework of employees providing services to customers are gaining particular popularity. At the moment,there are many modern approaches, methods and algorithms for automatically trackingbuyers and sellers in the store. Modern companies are trying to solve this problem in differentways: counting visitors, monitoring devices, various neural network solutions, and so on. Afterreviewing 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 agoal: to improve the quality of tracking the movement of employees / customers through the developmentof automated means and methods of movement control, inter-chamber tracking and identificationof the individual. The article describes a method for automatic recognition and tracking ofemployees of stores and firms. The method is based on a cascade of neural networks and algorithmsthat allow recognizing customers and employees in uniform, as well as evaluating thequality of employees' work and customer satisfaction by voice. As the results of the research, thisarticle presents models and methods for classifying customers and sellers by uniform, methods fordetermining the level of interaction between sellers and customers based on algorithms for determiningthe satisfaction of visitors and customers by voice and face, and algorithms for determiningthe quality of employees' work. The developed methods can improve the efficiency of employees, aswell as increase the quality of services provided. Based on the results of the work, testing wascarried out and a conclusion was made about the satisfactory performance of the presented methodsand algorithms.