Position and pose detection of electrical housings in industrial scenario with deep neural networks

Gábor Böcz; Dominik Wenesz; Daniel Molnar

doi:10.14513/actatechjaur.00981

Authors

Gábor Böcz ACSG Kft, Práter utca 5a, 9024 Győr, Hungary
Wenesz Dominik ACSG Kft, Práter utca 5a, 9024 Győr, Hungary
Molnár Dániel ACSG Kft, Práter utca 5a, 9024 Győr, Hungary

DOI:

https://doi.org/10.14513/actatechjaur.00981

Keywords:

machine vision, deep learning, industrial automation, synthetic data

Abstract

Robotization, data-based decision-making, and machine vision-based process control or monitoring are now indispensable in industrial environments. In this article, we present our manufacturing cell development at ACSG Kft., which aimed to cost-effectively apply modern machine vision and data-based decision-making in the conversion of a machine suitable for large-volume series production to small-batch production. The result of our development is a modular system suitable for data-based decision-making using machine vision that requires minimal human intervention.

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