This paper introduces an innovative robotic solution to quality assurance and product packaging to reduce human effort while ensuring high-quality results. The proposed system efficiently handles and inspects the product by utilizing the mounted cameras that feed the advanced computer vision models that can detect any fault in the product, which it can then package. A unique feature of our system is the custom-designed palletising island and vacuum gripper to handle products during quality control and packaging. Rigorous testing and experiments with plastic products have shown that our system matches, and in some aspects, surpasses the proficiency of experienced human operators in both efficiency and accuracy.

Next-Generation Robotic Vision Systems for Quality Assurance in Plastics and Packaging / Galdelli, Alessandro; Narang, Gagan; Mancini, Adriano; Ciancaglione, Alessandro; Brutti, Marco; Di Buò, Gianluca; Frontoni, Emanuele. - 33:(2025), pp. 252-257. (Intervento presentato al convegno 15th European Robotics Forum, ERF 2024 tenutosi a Rimini, Italy nel 13-15 March) [10.1007/978-3-031-76428-8_47].

Next-Generation Robotic Vision Systems for Quality Assurance in Plastics and Packaging

Alessandro Galdelli
Primo
;
Gagan Narang;Adriano Mancini;Emanuele Frontoni
2025-01-01

Abstract

This paper introduces an innovative robotic solution to quality assurance and product packaging to reduce human effort while ensuring high-quality results. The proposed system efficiently handles and inspects the product by utilizing the mounted cameras that feed the advanced computer vision models that can detect any fault in the product, which it can then package. A unique feature of our system is the custom-designed palletising island and vacuum gripper to handle products during quality control and packaging. Rigorous testing and experiments with plastic products have shown that our system matches, and in some aspects, surpasses the proficiency of experienced human operators in both efficiency and accuracy.
2025
978-3-031-76428-8
978-3-031-76427-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/344347
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