ChiuVention Fiber Composition Analyzer

The AI-powered fiber composition analyzer is a device for testing textile fibers. It uses AI and deep learning technology. It uses smart algorithms and image recognition tech to test fiber slices automatically. This includes specialty wool, cotton-linen blends, cotton, and regenerated cellulose fibers. It measures both composition and proportion. It can also test fiber fineness. This means it automatically checks the fineness of fiber slices.

It replaces manual visual inspections in textile testing with smart equipment. This boosts testing efficiency by 10 times and cuts labor costs by 50%.

This AI-powered fiber composition analyzer has two main parts:

An end-user testing device, which includes:

An image acquisition module

An image recognition module

An AI algorithm module

A mechanical control module

A backend management platform.

It allows smart testing and gathers data. With one click, you can create fiber composition analysis reports.

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Description

Testing Process

Sample Pre-processing

Prepare fiber samples into thin sheets or single fiber cross-sections.

Capture high-resolution images of the cross-section or surface under a microscope.

Microscopic Imaging

Use an optical microscope to get fiber morphology.

The imaging system has automatic focusing and image enhancement. These features ensure clear images and better contrast.

Image Feature Extraction

AI performs feature extraction on the images, including:

Geometric features: cross-sectional shape (circular, triangular, pod-shaped), aspect ratio, area.

Textural features: surface smoothness, distribution of scales or grooves.

Color/brightness features: differences in dyed or natural colors.

AI Recognition and Classification

AI learns image features of various fibers using a deep learning model.

By comparing with standard fiber images in the database, it determines the fiber type.

Quantitative Analysis

AI can analyze blended fiber samples to find the component ratio. For example, it can determine if a sample has 65% cotton and 35% polyester.

It does this by looking at the number and area of different fiber images.

The Specification of AI-powered fiber composition analyzer

Power   220V   50 / 60 Hz  Other voltages require an external transformer

Weight  11kg

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