Leveraging passive monitoring applications in production and intralogistics

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Authors: Philipp Prünte, Jonathan Determann, Keno Moenck, Eidan Erlich, Dhananjay Patki, Frank Bitte, Martin Gomse, Thorsten Schüppstuhl
Cited by: 0
References: 13

Abstract

Today’s rapidly evolving industrial landscape and the progressive digitization of products, processes, and resources require massive amounts of online data on the current production and logistical status. Fixed-positioned sensor systems have a constrained Field of View (FoV), while a mobile system can significantly extend these, enabling further applications due to the larger observed space. In this work, we elaborate on potential applications that utilize incidentally acquired data from various locations from the perspective of a mobile, vision-based sensor system. We exemplarily demonstrate an application within the scope of capturing and triggering the intralogistics chain with data from a vision-based sensor system that can be carried by an Autonomous Guided Vehicle (AGV).

Fields of Study & Subjects

Advanced Manufacturing and Logistics Optimization Industrial Automation and Control Systems Industrial Vision Systems and Defect Detection

Publication details

Journal / source
Procedia CIRP
Volume
138
Pages
102–107
Publication date
1 January 2026
Language
EN