Yarn quality control

This system uses a camera to take pictures of yarn packages as they move along a conveyor. An artificial intelligence system, specifically a neural network or a regression model, analyzes these images to determine the yarn's quality. Based on this analysis, a sorting mechanism automatically separates the packages into different categories.

Why it matters: Since 2024, the availability of robust pre-trained convolutional neural networks and more efficient training data generation methods has simplified the development of such AI systems.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedAI software, machine vision, mechanical sorting

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