ANFIS-Based Determination of pH Level of Liquid Raw Materials with Image Processing

Atasoy B., Tasdemir K., DURMUŞ M., Demir E., Gucluer F., Tosun E.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.744-751 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_85
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.744-751
  • Anahtar Kelimeler: Liquid materials, Chemical sensors, pH level, Computer vision, Neuro-fuzzy systems
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Determination of pH level in liquid materials are important phenomenon, especially to determine the quality of the raw material, and some mechanical features like abrasive characteristics, and so on. Today's conventional methods are based on spectroscopic or non-spectroscopic methods, such as refractometric, diffractometric methods. These methods are quite useful and accurate for any defined feature such as acidity, organic/inorganic material content like alcohol or glucose content. However, main drawback of these methods are, they are mostly measurable for one feature, so the operational and maintenance costs are expensive. Image processing and Convolutional Neural Networks based methods are low-cost, but satisfactory results, however the main requirements of them are high computational power and this sometimes results overfitting problem. Moreover, some color tones are not detected correctly, hence they are detected and analyzed as crisp values.