Improvement of Design for Artificial fiber Patterns Embedded in Clothing

Abstract

In recent years, the number of installed surveillance cameras has increased significantly, but most of them have not been effectively utilized. If video images are used to track people, they can be expected to be utilized in marketing and epidemiological studies. We have been conducting research on Artificial fiber Patterns, which is a technology to add information to textile patterns without causing visual discomfort. We aim to realize a privacy-conscious person tracking and flow analysis system by embedding Artificial fiber Patterns in clothing and reading the information captured by a surveillance camera. In this study, we verified the relationship between the coefficient for creating Artificial fiber Patterns and the accuracy when the color of the ink is changed, and achieved information embedding in a way that is more obfuscated than in previous studies, and that the embedded area is less likely to cause a sense of discomfort.