ENG

Introduction

ERO S.r.l is a leading manufacturer of gluing and quality control systems for the paper converting industry. It provides advanced technological solutions for the paper converting industry, catering to international customers with high demands in terms of efficiency, precision, and innovation.

The problem

In the paper industry, quality control of the glue applied to boxes is a critical process, often hampered by complex graphics that make visual verification difficult. The market demands increasingly efficient and accurate systems that can reduce waste, minimize non-conformities, and ensure high quality standards without slowing down production.

The solution

Deep Learning for advanced recognition The project introduces a quality control system based on deep learning algorithms, capable of automatically recognizing the correct application of glue even on complex graphic surfaces. The solution improves the accuracy of controls, reduces machine start-up times, and limits human intervention, increasing the efficiency of the entire production line.

Technologies

Artificial Intelligence

Deep Learning for advanced recognition

Machine Vision for automated quality control

Desired impacts

The system will overcome current limitations in glue control on complex cartons, improving the reliability of the production process. Companies in the sector will be able to reduce time and costs, guarantee consistent quality, and further customize product graphics without compromising control.

Benefits for the company

Thanks to the project, ERO will be able to offer an innovative, versatile, and automated system, strengthening its competitive position. The new system will make the offering more attractive to customers with customization and high quality requirements, expanding market opportunities internationally.