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Sensors and Materials, Volume 33, Number 11(3) (2021)
Copyright(C) MYU K.K.
pp. 4069-4075
S&M2746 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3534
Published: November 30, 2021

Designing, Manufacturing, and Testing a Voice-controlled Intelligent Drawer [PDF]

Yao-Tsung Yang, Tan-Chih Chang, and Feng-Min Lai

(Received July 6, 2021; Accepted November 16, 2021)

Keywords: smart, carbon fiber, light-weight, voice control, sensor, Arduino

In this study, a voice control model was assembled using Arduino UNO and LD3320 sensor modules, and this model was then used to create the voice control system for use in a smart drawer that could improve the convenience of daily life. We enhanced the receiving function of the voice control system to check the safety of the smart drawer, to reduce the error rate of speech recognition, and to raise the precision of supportive action. We developed carbon/carbon nanotubes (CNTs)/epoxy parts and one smart drawer with carbon fibers woven into cloth with light weight, high strength, and high tenacity. The carbon-fiber-woven cloth combined with CNTs/epoxy was stronger than those previously used in auxiliary appliances and achieved greater lightness and strength. We combined the carbon-fiber-woven cloth and CNTs/epoxy with different weight percentages of CNTs (0.5, 1, and 2 wt%) in epoxy, and manufactured test pieces of carbon/CNTs/epoxy samples with different amounts of CNTs and performed tensile, three-point bending, and impulse tests. Finally, to reduce the weight of the drawer, we used carbon/CNTs/epoxy components comprising the carbon-fiber-woven cloth and 1 wt% CNTs/epoxy. We created a smart drawer with voice control in this study; the drawer’s switch can be controlled using voice recognition and remote control. The smart drawer is composed of a light-weight, high-strength, and high-tenacity carbon fiber/epoxy composite material with 1 wt% CNTs. The carbon/CNTs/epoxy smart drawer has the advantages of light weight, durability, controllability, and signal stability, making it ideal for use in care devices. The LD3320 sensor board combined with Arduino UNO successfully used the sound to drive the motor of the smart drawer, and the switch action can be performed.

Corresponding author: Feng-Min Lai


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yao-Tsung Yang, Tan-Chih Chang, and Feng-Min Lai, Designing, Manufacturing, and Testing a Voice-controlled Intelligent Drawer, Sens. Mater., Vol. 33, No. 11, 2021, p. 4069-4075.



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