Fabric variation and visualization using light dependent factor.

Niharika, Gorsa Lakshmi; Bano, Shahana; Sai, Kondapaneni Charan; Rohith, Kavuri; Gutta, Dasaradh

Abstract

Typically, fabrics are recognised by human touch or feel. However, this study proposes an Internet of Things application that allows for the detection of fabric variation through light-based sensors.

Citation

NIHARIKA, G.L., BANO, S., SAI, K.C., ROHITH, K. and GUTTA, D. 2023. Fabric variation and visualization using light dependent factor. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 3rd International conference on data science, machine learning and applications (ICDSMLA 2021), 26 December 2021, Mandya, India. Lecture notes in electrical engineering, 947. Singapore: Springer [online], pages 293-302. Available from: https://doi.org/10.1007/978-981-19-5936-3_27

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 3rd International conference on data science, machine learning and applications (ICDSMLA 2021)
• Start Date: Dec 26, 2021
• Acceptance Date: Nov 22, 2021
• Online Publication Date: Feb 7, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Jul 4, 2024
• Publicly Available Date: Jul 4, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 293-302
• Series Title: Lecture notes in electrical engineering
• Series Number: 947
• Series ISSN: 1876-1100; 1876-1119
• ISBN: 9789811959356
• DOI: https://doi.org/10.1007/978-981-19-5936-3_27
• Keywords: Fabric recognition; Sensors; Light-dependent resistors; Internet of Things (IoT)
• Public URL: https://rgu-repository.worktribe.com/output/2063909