Deep-learning based industrial quality control on low-cost smart cameras

S. Toigo; A. Cenedese; D. Fornasier; B. Kasi

doi:10.1117/12.2690728

28 July 2023 Deep-learning based industrial quality control on low-cost smart cameras

S. Toigo, A. Cenedese, D. Fornasier, B. Kasi

Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 127490G (2023) https://doi.org/10.1117/12.2690728
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France

Abstract

This paper aims to describe a combined machine vision and deep learning method for quality control in an industrial environment. The innovative approach used for the proposed solution leverages the use of low-cost hardware of reduced size, and yields extremely high evaluation accuracy and limited computational time. As a result, the developed system works entirely on a portable smart camera. It does not require additional sensors, such as photocells, nor is it based on external computation.

Citation Download Citation

S. Toigo, A. Cenedese, D. Fornasier, and B. Kasi "Deep-learning based industrial quality control on low-cost smart cameras", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 127490G (28 July 2023); https://doi.org/10.1117/12.2690728

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