CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
AUTOMATIC SYSTEM FOR MONITORING THE ACTIVITY OF CUSTOMERS IN THE STORE WITH MODULES FOR EVALUATING THE WORK OF THE STORE EMPLOYEE
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Read | Rozaliev Vladimir L., Zaboleeva-Zotova Alla V., Ulyev Andrey D., Alexeev Alexey V., Orlova Yulia A. AUTOMATIC SYSTEM FOR MONITORING THE ACTIVITY OF CUSTOMERS IN THE STORE WITH MODULES FOR EVALUATING THE WORK OF THE STORE EMPLOYEE // Caspian journal : management and high technologies. — 2020. — №2. — pp. 22-32. |
Rozaliev Vladimir L. - Volgograd State Technical University, vladimir.rozaliev@gmail.com
Zaboleeva-Zotova Alla V. - Volgograd State Technical University, zabzot@gmail.com
Ulyev Andrey D. - Volgograd State Technical University, ulyev-ad@yandex.ru
Alexeev Alexey V. - Volgograd State Technical University, alekseev.yeskela@gmail.com
Orlova Yulia A. - Volgograd State Technical University, yulia.orlova@gmail.com
The article presents a method for automatic recognition of sales consultants based on a cascade of neural networks and clarifying algorithms, as well as methods for controlling the behavior of a sales consultant. The article describes the technology of capturing and leading the buyer between cameras, as well as ways to integrate an identity identification system into the software product for possible work with unique preferences of the buyer, such as: purchase history, formation of interesting products, adding the buyer to the "black list", etc.In addition, the article presents tools for determining the level of interaction between the seller-consultant and the buyer of the store, which can automatically assess the quality of services provided by the seller. A brief overview of systems with similar functional characteristics is given. The proposed method is described, the results obtained and ways to improve them are shown.
Key words: нейронная сеть, искусственный интеллект, распознавание позы человека, мониторинг поведения, neural network, artificial intelligence, recognition of human pose, behavior monitoring