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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Chavan, Gayatri Sanjay
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Identification of soluble solid content and total acid content using real-time visual inspection system Moorthy, C. H. V. K. N. S. N.; Tripathi, Mukesh Kumar; Hudagi, Manjunath R.; Hadimani, Lingaraj A.; Chavan, Gayatri Sanjay; Angadi, Sanjeevkumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 1: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i1.pp238-246

Abstract

This paper presents the framework for identifying materials using a fused descriptor-based approach, leverage computer vision techniques. The system is structured into three phases: derivation, extraction, and portrayal. Initially, the system employs K-means gathering techniques for establishing derivation. Following derivation, the system utilizes variety, texture, and shape-based feature extraction methods to extract relevant features from the soluble solid content and total acid content using real-time visual inspection system. A “consolidating” fusion feature is explored in the final phase using classification algorithms like C4.5, support vector machines (SVM), and k-nearest neighbors (KNN). The performance evaluation of the recognition system demonstrates promising results, with accuracy rates of 97.89%, 94.60%, and 90.25% achieved by using C4.5, SVM, and KNN separately. This indicates that the proposed fusion strategy effectively supports accurately recognizing materials using a fused descriptor-based approach.
Co-Authors Angadi, Sanjeevkumar Hadimani, Lingaraj A. Hudagi, Manjunath R. Moorthy, C. H. V. K. N. S. N. Tripathi, Mukesh Kumar