Smart Dispenser Using Voice Recognition as an Assistive Device for the Visually Impaired with a Second-Order IIR Filter Algorithm

This research developed a Smart Dispenser with Voice Recognition technology as a tool to help the visually impaired in taking drinking water. The system is designed using a Voice Recognition sensor, an ISD 1820 sensor, and a microcontroller to enable the operation of the dispenser via voice commands. The test was carried out to analyze the performance of the system in recognizing voice commands and removing water. The results showed a voice detection accuracy rate of 28%, with factors such as environmental noise and sound intonation affecting the effectiveness of the system. The study also identified several areas of improvement, including the use of a DC water pump to increase the flow rate, the addition of an automatic feature to stop the flow of water when a glass is taken, and the use of a DC fan to maintain the sensor's optimal temperature. Further development is needed to improve the accuracy and efficiency of the system so that it can more effectively help the visually impaired in daily life.

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Publication Details

Journal
PIKSEL Penelitian Ilmu Komputer Sistem Embedded and Logic
Published
2024-09-30
DOI
https://doi.org/10.33558/piksel.v12i2.9825
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
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article

Smart Dispenser Using Voice Recognition as an Assistive Device for the Visually Impaired with a Second-Order IIR Filter Algorithm

Lindawati Lindawati, Aryanti Aryanti, Fifteen Angelina
PIKSEL Penelitian Ilmu Komputer Sistem Embedded and Logic
Smart Parking Systems Research
article

Smart Dispenser Using Voice Recognition as an Assistive Device for the Visually Impaired with a Second-Order IIR Filter Algorithm

Lindawati Lindawati, Aryanti Aryanti, Fifteen Angelina
article en

Abstract

This research developed a Smart Dispenser with Voice Recognition technology as a tool to help the visually impaired in taking drinking water. The system is designed using a Voice Recognition sensor, an ISD 1820 sensor, and a microcontroller to enable the operation of the dispenser via voice commands. The test was carried out to analyze the performance of the system in recognizing voice commands and removing water. The results showed a voice detection accuracy rate of 28%, with factors such as environmental noise and sound intonation affecting the effectiveness of the system. The study also identified several areas of improvement, including the use of a DC water pump to increase the flow rate, the addition of an automatic feature to stop the flow of water when a glass is taken, and the use of a DC fan to maintain the sensor's optimal temperature. Further development is needed to improve the accuracy and efficiency of the system so that it can more effectively help the visually impaired in daily life.

PIKSEL Penelitian Ilmu Komputer Sistem Embedded and LogicVol. 12(2)
Sriwijaya University (ID), Politeknik Negeri Sriwijaya (ID)
Clean water and sanitation
Openalex Percentile: Top 80%
Smart Parking Systems Research
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