TEXTILE DYEING PROCESS AND DYEING RECIPE PREDICTION USING ARTIFICAL INTELLIGENCE

Year 2024, , 1 - 20, 29.02.2024

İsmet Can Şahin , Can Eyüpoğlu

https://doi.org/10.56809/icujtas.1293563

Cited By: 1

Abstract

In this study, a comprehensive analysis is presented on the determination and estimation of the sample color or
target color taken from the customer in the laboratory department of textile dyeing companies. The importance of
the textile industry in the world and Turkey is also mentioned. In the report published by Statista, it is seen that
the textile industry has a share of 3.3% in Turkey and the world. In this work, a sample study was conducted in a
textile finishing company and the processes were shared. First, the classical processes used to determine the target
color are explained in detail. Then, it was mentioned how the data obtained with the spectrophotometer device is
used in color estimation using machine learning methods and artificial neural networks According to the results of
the examination, it is seen that the data obtained with the hyperspectral camera device is estimated by the long
short-term memory (LSTM) model, since the spectrophotometer device is expensive and does not give accurate
results recently. In addition, it has been observed that this model gives better results than the same model created
from the data obtained with the spectrophotometer device

Keywords

Dyeing Recipe Prediction, Artificial Intelligence, Textile Dyehouse, Color Space, Spectrophotometer

TEKSTİL BOYAMA SÜRECİ VE YAPAY ZEKA KULLANARAK BOYAMA REÇETESİ TAHMİNİ

Abstract

Bu çalışmada tekstil boyama firmalarının laboratuvar bölümünde müşteriden alınan numune renginin veya hedef rengin belirlenmesi ve tahmin edilmesi üzerine kapsamlı bir analiz sunulmaktadır. Tekstil sektörünün dünyadaki ve Türkiye’deki önemine de değinilmektedir. Statista’nın yayınladığı raporda tekstil sektörünün Türkiye’de ve dünyada %3,3’lük bir paya sahip olduğu görülmektedir. Bu çalışmada bir tekstil terbiye firmasında örnek bir çalışma yapılmış ve süreçler paylaşılmıştır. İlk olarak hedef rengi belirlemek için kullanılan klasik süreçler kapsamlı bir şekilde anlatılmıştır. Ardından spektrofotometre cihazı ile alınan verilerin makine öğrenmesi yöntemleri ve yapay sinir ağları kullanılarak renk tahmininde nasıl kullanıldığından bahsedilmiştir. Yapılan inceleme sonuçlarına göre son zamanlarda spektrofotometre cihazının pahalı olması ve kesin sonuç vermemesi sebebiyle hiperspektral kamera cihazı ile elde edilen verilerin uzun kısa-süreli bellek (Long Short-Term Memory-LSTM) modeli ile tahmin edildiği görülmektedir. Ayrıca bu modelin spektrofotometre cihazı ile elde edilen verilerden oluşturulan aynı modele göre daha iyi sonuçlar verdiği gözlemlenmiştir.

Keywords

Boyama Reçetesi Tahmini, Yapay Zekâ, Tekstil Boyahanesi, Renk Uzayı, Spektrofotometre

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