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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39277
Volume:
8 |
11 |
Nov 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The development of a voice-activated clap switch system that incorporates Artificial Intelligence (AI) and Arduino technology holds significant potential for advancing smart home automation, particularly for individuals with disabilities and the elderly. In India, 4.3% of the population has disabilities, and 10.5% are over the age of 60 (Ministry of Statistics and Programme Implementation, 2021), highlighting the need for accessible technologies that facilitate independent living. Traditional clap switches, which rely solely on sound intensity detection, are prone to false triggers and background noise interference, limiting their reliability and effectiveness (Smith et al., 2020). This paper presents an AI-enhanced clap switch system capable of recognizing specific sound patterns, enabling it to accurately distinguish claps from other noises while also supporting voice commands for improved control and accessibility. The methodology involves collecting sound data, training an AI model to identify claps and process voice commands, and deploying the model on an Arduino microcontroller that controls a relay for appliance operation. Experimental results show that the AI-powered system significantly reduces false activations in noisy environments, providing a reliable, energy-efficient, and hands-free solution for smart homes, particularly benefiting users who require enhanced accessibility in their living spaces.
KEYWORDS
Publication Date
11/29/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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