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.
Deep-learning based industrial quality control on low-cost smart cameras
Toigo, Stefano;Cenedese, Angelo;
2023
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.File in questo prodotto:
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