NURE Kharkiv national university of radioelectronics

Conference MC&FPGA

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Automated Module for Product Identification by their Visual Characteristics

DOI: 10.35598/mcfpga.2021.009

Automated Module for Product Identification by their Visual Characteristics
Sergiy Novoselov, Oksana Sychova, Yevhenii Pashchenko

III International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs (MC&FPGA), Kharkiv, Ukraine, 2021, pp. 25-28.

Abstract
In this work the automated module of identification of products on their visual signs is developed. The general architecture of the automated module and algorithms of work of the client module, the program in the mode of reception of the answer from the server and a server part are developed. The distributed principle of data processing and storage was used to solve the problems. The automated software module is based on the distributed control principle. Developed software for the mobile device and the necessary scripts for the server part. Testing of the developed software is performed.

Keywords: DART, Flutter, MySQL, MVC, OpenCV, SIFT, Automated Module, Intellectual Production, Customer, Recognition, Server.

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