title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½Ð°ÐºÐ»Ð¾Ð½Ð½Ð¾-Ð¿Ð¾Ð²Ð¾ÑÐ¾ÑÐ½Ð¾Ð³Ð¾ ÐºÑÐ¾Ð½ÑÑÐµÐ¹Ð½Ð° Ñ ÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Implementation of deep neural networks in the improvement of detection of DataMatrix codes in video analytics systems
Creators: name: ÐÐ¾Ð³Ð´Ð°ÑÐµÐ²ÑÐºÐ°Ñ, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÐµ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÐµ ÑÑÑÐ¸Ñ -ÐºÐ¾Ð´Ñ
Ð·Ð°Ð´Ð°ÑÐ° Ð´ÐµÑÐµÐºÑÐ¸Ð¸
YOLO
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÐºÐ¾Ð´Ð¾Ð²
DataMatrix codes
object detection
neural networks
code recognition

description: Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ: ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð³Ð»ÑÐ±Ð¾ÐºÐ¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ ÑÐ»ÑÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ Ð´ÐµÐºÐ¾Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÐºÐ¾Ð´Ð¾Ð². ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ðº ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÑÑÑÐ¸Ñ-ÐºÐ¾Ð´Ð¾Ð²; 2. Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ° Ð¾Ð±ÑÑÐ°ÑÑÐµÐ³Ð¾ Ð´Ð°ÑÐ°ÑÐµÑÐ° Ð¸ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ Ð»Ð¾ÐºÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÐºÐ¾Ð´Ð¾Ð²; 3. ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÐºÐ¾Ð´Ð¾Ð² Ð¸ ÐµÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð½Ð° C++; 4. ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ°Ð±Ð¾ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ Ð´ÐµÐºÐ¾Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÑÑÑÐ¸Ñ-ÐºÐ¾Ð´Ð¾Ð², ÑÑÐ¾ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð»Ð¾ Ð²Ñ-ÑÐ²Ð¸ÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð¸ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¸ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð². Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ»Ð¸ Ð¾Ð±ÑÑÐµÐ½Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° ÑÐ¾Ð±ÑÐ°Ð½Ð½Ð¾Ð¼ Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ Ð¼Ð°ÑÑÐ¸ÑÐ½ÑÑ ÐºÐ¾Ð´Ð¾Ð², Ð° Ð²Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÐ²Ð¸Ð¸ ÑÑÐ¿ÐµÑÐ½Ð¾ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ C++. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ ÑÐ±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð½Ð° ÐºÐ¾Ð½Ð²ÐµÐ¹ÐµÑÐ°Ñ Ð¸ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ ÑÐ¾Ð±Ð¾ÑÐ¾Ð² Ñ Ð±Ð¾Ð»ÑÑÐµÐ¹ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð¸ Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð¸ÑÑÐµÐ¼Ð¾Ð¹ ÑÐºÐ¾ÑÐ¾ÑÑÑÑ Ð² ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ð¸ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸ ÑÐµÑÐµÐ½Ð¸ÑÐ¼Ð¸.
description: The purpose of the graduate qualification work: to design an algorithm for im-proved detection and decoding of DataMatrix codes using deep neural networks. Problems that were solved during the study: 1. analysis of existing approaches to recognition of DataMatrix codes; 2. preparation of a dataset and training of a neural network for detection of DataMatrix codes; 3. designing of the architecture of a DataMatrix codes recognition system and its software implementation in C++; 4. experimental assessment of the quality of the system. In the course of the work, an analysis of existing approaches to detection and decoding of DataMatrix codes was carried out, which made it possible to identify the main problems and shortcomings of existing methods. Moreover, neural network models were trained on the collected data set. The architecture of a DataMatrix codes recognition system was developed and successfully implemented in the C++ programming language. The results obtained can be used in systems for automatic identification and data collection on conveyors and in computer vision systems for mobile robots with great-er accuracy and at a controlled speed in comparison with existing solutions.