2026-07-27T01:57:40Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:25419 2026-03-19T13:46:40Z ddc:004 open_access

Computer Vision Integration for Automated Piece Positioning in an Industry 4.0 Setup de Souza, Augusto dos Santos Roque, Alexandre Pereira, Carlos Eduardo de Freitas, Edison Pignaton Industry 4.0 Automation Vision systems Piece positioning Servo motors 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Augusto de Souza and Alexandre dos Santos Roque and Carlos Eduardo Pereira and Edison Pignaton de Freitas 2026 Is Part Of OASIcs, Volume 140, 7th Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2026) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.NG-RES.2026.1 urn:nbn:de:0030-drops-254191 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2026.1 eng https://creativecommons.org/licenses/by/4.0/legalcode