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DOI: 10.4230/OASIcs.NG-RES.2026.1

Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup

Authors: Augusto de Souza, Alexandre dos Santos Roque, Carlos Eduardo Pereira, and Edison Pignaton de Freitas

Published in: OASIcs, Volume 140, 7th Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2026)

Abstract

This paper presents the design and development of an alternative, cost-effective automated piece positioning system, specifically tailored for Small and Medium-sized Enterprises (SMEs), which integrates computer vision with EtherCAT-controlled servo motors. The proposed method combines a robust vision system with an AI-enhanced algorithm based on edge detection to precisely identify object contours. This enables a Programmable Logic Controller (PLC) to control the servo motor, adjusting the piece’s angle with high accuracy. Experimental results demonstrate the solution’s practical viability, achieving a minimal angular oscillation of less than 0.0012° and a promising low image processing time of approximately 20ms, showcasing its potential for enhancing manufacturing efficiency and quality in industrial applications.

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Augusto de Souza, Alexandre dos Santos Roque, Carlos Eduardo Pereira, and Edison Pignaton de Freitas. Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup. In 7th Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2026). Open Access Series in Informatics (OASIcs), Volume 140, pp. 1:1-1:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{desouza_et_al:OASIcs.NG-RES.2026.1,
  author =	{de Souza, Augusto and dos Santos Roque, Alexandre and Pereira, Carlos Eduardo and de Freitas, Edison Pignaton},
  title =	{{Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup}},
  booktitle =	{7th Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2026)},
  pages =	{1:1--1:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-415-4},
  ISSN =	{2190-6807},
  year =	{2026},
  volume =	{140},
  editor =	{Ali, Hazem Ismail and Kurunathan, Harrison},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2026.1},
  URN =		{urn:nbn:de:0030-drops-254191},
  doi =		{10.4230/OASIcs.NG-RES.2026.1},
  annote =	{Keywords: Industry 4.0, Automation, Vision systems, Piece positioning, Servo motors}
}

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Documents authored by de Souza, Augusto

Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup

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