Relevant bibliographies by topics / Система 3D Vision

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Система 3D Vision'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Система 3D Vision"

1

Фролов, А. А. "Современные системы визуального контроля для технологии Индустрии 4.0". ANALYTICS Russia 9, № 6 (2019): 474–77. http://dx.doi.org/10.22184/2227-572x.2019.9.6.474.477.

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Современные системы визуального контроля для технологии Индустрии 4.0 Термин «Индустрия 4.0» означает наступление четвертой промышленной революции, которую связывают с такими понятиями, как промышленный интернет вещей, цифровое предприятие, искусственный интеллект, аддитивные технологии и др. Основные принципы Индустрии 4.0 – это интеграция всех этапов производственного цикла в единое информационное пространство и взаимодействие машин без участия человека. Эффект от реализации технологии возможен только при условии хорошо налаженных процессов получения, анализа и обмена данными. Важнейший элем
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ALEKSEY A., KABANOV, KRAMAR VADIM A., and KRAMAR OLEG A. "3D VISION SYSTEM FOR UNDERWATER ROBOT." CASPIAN JOURNAL: Control and High Technologies 54, no. 2 (2021): 113–25. http://dx.doi.org/10.21672/2074-1707.2021.53.1.113-125.

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The article deals with the development of an integrated high-resolution 3D vision system for remotely controlled and autonomous underwater robotic systems. The problem of developing a 3D vision system as a sensor subsystem of an underwater robot is presented. Typical examples of tasks solved with the help of such robotic systems are environmental monitoring; detection of objects and obstacles, their localization; convergence of the CRS with the object; performing operations with objects. The structure of a complex 3D vision system is presented. The description of the design of the main structu
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Aleksandrov, Aleksandr A., and Aleksey N. Maksimov. "3D LASER SCANNING SYSTEM FOR PRODUCTS MOVING ON A CONVEYOR BELT." SOFT MEASUREMENTS AND COMPUTING 3, no. 88 (2025): 5–14. https://doi.org/10.36871/2618-9976.2025.03.001.

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Machine vision systems are increasingly being used in control systems at various stages of production. The ability to work with a point cloud of threedimensional objects allows expanding the scope of application of such systems. One of such systems is a laser scanning system. This paper examines the use of a laser scanning system to build a point cloud of products on a belt conveyor. The mathematical apparatus for constructing a section of a point cloud of a product by a laser beam, a method for calculating conveyor belt displacements by markers and constructing a final point cloud from sectio
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Tkachuk, А. H., O. M. Bezvesilna, and О. О. Dobrzhanskyi. "AUTOMATED SYSTEM BASED ON A MOBILE PLATFORM WITH AUTONOMOUS STABILIZATION FOR MEASURING THERMAL INDICATORS OF OBJECTS." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 1(22) (2023): 36–44. http://dx.doi.org/10.32684/2412-5288-2023-1-22-36-44.

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Mobile robotic platforms are autonomous devices consisting of mechanical, electrical and electronic components that allow them to move on land, water or in the air. These platforms can be used in a variety of industries, including medicine, industry, research and intelligence, and military applications. The article deals with a new automated system with autonomous stabilization based on a mobile platform for measuring the thermal indicators of objects. The developed 3D model of a mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system is
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ХАМИТОВ, Р. М. "ПЕРСПЕКТИВЫ ИНТЕГРАЦИИ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ В МЕТАЛЛУРГИЧЕСКУЮ ПРОМЫШЛЕННОСТЬ". Экономика и предпринимательство, № 9(170) (13 вересня 2024): 1116–19. http://dx.doi.org/10.34925/eip.2024.170.9.207.

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В статье рассматривается применение методов машинного обучения в металлургической промышленности с целью оптимизации производственных процессов и повышения качества продукции. Освещены преимущества использования нейросетевых моделей, систем компьютерного зрения и других алгоритмов машинного обучения. Обсуждаются перспективы цифровой трансформации в литейном производстве и внедрение новых технологий, таких как 3D-печать и системы мониторинга оборудования. Отмечается значительный потенциал методов машинного обучения для улучшения эффективности производства и повышения конкурентоспособности предп
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Nikolyukin, Danila, Vladimir Peters, Mikhail Popov, and Andrey Kryshchenko. "HARDWARE DEVELOPMENT AND 3D MODELING OF THE BODY OF THE VISION SYSTEM FOR DETERMINING THE PARAMETERS OF SUGAR BEET ROOT CROPS." SCIENCE IN THE CENTRAL RUSSIA, no. 2 (April 27, 2024): 113–20. http://dx.doi.org/10.35887/2305-2538-2024-2-113-120.

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One of the problems of the sugar industry is the high quality loss of sugar beet roots during storage. The development of a technical vision system is aimed at ensuring greater safety of raw materials during harvesting and storage by analyzing raw materials arriving at factories. The concepts of technical vision and technical vision systems and its components are described in the work. The process of distribution of trucks at the receiving point of sugar factories by humans is considered. The purpose of the article is formulated, which is to develop the hardware of the technical vision system,
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Gessen, P. A., A. I. Lizin, V. A. Pavlova, V. D. Saenko, A. A. Sudakov, and V. A. Tupikov. "Advancements in guidance systems for high-speed aircraft based on computer vision methods." Aerospace Engineering and Technology 3, no. 1 (2025): 141–56. https://doi.org/10.52467/2949-401x-2025-3-1-141-156.

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This article explores modern computer vision algorithms applied to the terminal guidance of aerial vehicles. The focus is on approaches that implement 3D reference-to-scene matching for final orientation. Two methods are considered: comparison of a partially reconstructed 3D model with a reference model, and projection of the reference model into image space for subsequent comparison. Both deterministic and neural network-based algorithms for 3D model reconstruction are discussed in the context of terminal guidance. Particular attention is given to image matching algorithms under dynamically c
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Юсупов, А. Ф., Э. Н. Билалов, М. Х. Каримова, М. К. Зиевиддинов, and О. И. Орипов. "The Initial Results of the Clinical Trial of the Developed Diagnostic Complex "Macula Vision Test VR" for Early Diagnosis of Age-Related Macular Degeneration." Офтальмология. Восточная Европа 14, no. 2 (2024): 272–82. http://dx.doi.org/10.34883/pi.2024.14.2.025.

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Цель исследования. Описание первых результатов практического использования разработанного диагностического комплекса «Macula vision test VR» для раннего выявления возрастной макулярной дегенерации (ВМД). Материалы и методы. Был разработан диагностический комплекс «Macula vision test VR» для ранней диагностики ВМД, который включал в себя VR-очки, джойстик и специально разработанное мобильное приложение для смартфонов. Всего было отобрано 270 пациентов с ВМД моно- или билатерального характера. Из 270 пациентов, 465 глаз с ВМД, на 285 глазах имели раннюю стадию ВМД (категория 2 по AREDS) и 180 гл
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Vitiuk, A. Ye, and A. Yu Doroshenko. "Software package for estimation of the stereo camera calibration error in the computer vision system." PROBLEMS IN PROGRAMMING, no. 3-4 (December 2022): 469–77. http://dx.doi.org/10.15407/pp2022.03-04.469.

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The approach for accuracy assessment of the object model a for the problem of stable grasping in the combined system of the proposal of grasping and the reconstruction of the three-dimensional model of the object was considered. Such a combined system allows stable capture of objects of any shape without restrictions on the types of shapes in the training data set. Novel approaches to surface reconstruction of the object are based on restoring the depth of points from a pair of images from two cameras. The quality of the 3D reconstruction is affected by several factors: the movement of the cam
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ЛИПАК, ГАЛИНА, ТАРАС ЛИПАК та НАТАЛІЯ КУНАНЕЦЬ. "ПРОЄКТУВАННЯ ІНФОРМАЦІЙНОЇ СИСТЕМИ НА ОСНОВІ МАШИННОГО НАВЧАННЯ ДЛЯ ЗБЕРЕЖЕННЯ ТА КЛАСИФІКАЦІЇ АРТЕФАКТІВ ДОКУМЕНТАЛЬНОЇ СПАДЩИНИ". Herald of Khmelnytskyi National University. Technical sciences 339, № 4 (2024): 176–82. https://doi.org/10.31891/2307-5732-2024-339-4-29.

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The modern world faces numerous challenges in the field of cultural heritage protection, such as natural disasters, climate change, wars, neglect, and limited resources. These factors can lead to irreversible losses of cultural sites and monuments. Against the backdrop of these challenges, the use of artificial intelligence (AI) is becoming an increasingly relevant and promising area in the field of cultural heritage preservation. AI provides unique opportunities to effectively address a number of pressing issues that will help ensure the preservation and transmission of cultural heritage to f
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Dissertations / Theses on the topic "Система 3D Vision"

1

Бабій, Михайло Семенович, Михаил Семенович Бабий, and Mykhailo Semenovych Babii. "The Algorithm for Determining the TOE and Camber Parameters in the 3D vision System." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47064.

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The process of calculating exterior camera parameters is described according to the theory of machine vision. To calculate the toe and camber angles, an algorithm for obtaining the direction vector of wheel axle was developed. Algorithm can be used as well, when the lift plane is not horizontal.
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Journal articles
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