The main objective is to increase the agility level of Composite Industries production line, by automating its quality inspection process of carbon fibre components by employing a machine vision system.
To automate the quality inspection process of CFRP parts, ATLANTES proposes a solution based on a machine vision system consisting of both a traditional RGB camera and a near-infrared (NIR) hyperspectral one, to cover a wider range of possible defects and detect them better. The two technologies (RGB and NIR) are considered separately, having developed acquisition and detection codes for each of them. From the RGB point of view, the neural networks implemented by the TRINITY-originated module “Object Classification” is exploited to detect pitting, weave, and surface matte defects at a high resolution. Regarding NIR inspection, the spectroscopy of the pixels of the CFRP part is statistically analysed to detect the defective areas.
Composite Industries who is an SME manufacturer of CFRP components
Start Date - End Date:
01/11/2021 - 31/08/2022
199 938,00 €
TRL Level at Start:
TRL Level at End:
Number of early adopters raised:
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