Modern Energy-Efficient Living: Development of A Sound-Responsive Smart Lighting System

Modern Energy-Efficient Living: Development of A Sound-Responsive Smart Lighting System | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Modern Energy-Efficient Living: Development of A Sound-Responsive Smart Lighting System Maricar G. Edrada, Althea M. Llave, Chena Ann V. Dela Cruz, Razee Jewel M. Blancaflor, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8564772/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research developed a Sound-Responsive Smart Lighting System, enhancing home automation and energy efficiency. Utilizing an Arduino Uno R3 microcontroller, an ACE6467 microphone sensor, and an ACE6363 5V relay module to operate a 220V bulb. The authors developed the control logic directly within the Arduino Integrated Development Environment (IDE), creating a program that processed acoustic signals and converted them into digital commands to toggle the light’s state. The primary objective was to enhance accessibility for individuals with limited mobility while reducing the reliance on physical contact for device operation. Systematic testing was conducted in a controlled indoor environment to evaluate the performance of various auditory triggers, including claps, finger snaps, and object tapping, across distances ranging from 0.5 to 2.0 meters. Experimental results indicated that the system achieved “Excellent” responsiveness when triggered by a single clap up to a maximum effective range of 2.0 meters. However, performance significantly declined with higher-frequency sounds like snapping or tapping at distances beyond 0.5 meters, revealing limitations in sensor sensitivity and environmental noise interference. The study concludes that while the Arduino-based Sound-Responsive Smart Lighting System is a highly effective tool for modern home automation, future iterations require more advanced sound-processing algorithms to further optimize energy conservation and minimize false triggering. This research serves as a technical blueprint for cost-effective smart home technology and a foundation for future advancement in sensor-based systems. Computer Architecture and Engineering Smart Lighting System Arduino Uno R3 Sound-Responsive Technology Home Automation ACE6467 Microphone Sensor Accessibility Energy Efficiency Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8564772","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":572327612,"identity":"00fb22d1-41c2-4bf8-9b2a-6c1e448cbf43","order_by":0,"name":"Maricar G. 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Utilizing an Arduino Uno R3 microcontroller, an ACE6467 microphone sensor, and an ACE6363 5V relay module to operate a 220V bulb. The authors developed the control logic directly within the Arduino Integrated Development Environment (IDE), creating a program that processed acoustic signals and converted them into digital commands to toggle the light’s state.\u003c/p\u003e\n\u003cp\u003eThe primary objective was to enhance accessibility for individuals with limited mobility while reducing the reliance on physical contact for device operation. Systematic testing was conducted in a controlled indoor environment to evaluate the performance of various auditory triggers, including claps, finger snaps, and object tapping, across distances ranging from 0.5 to 2.0 meters. Experimental results indicated that the system achieved “Excellent” responsiveness when triggered by a single clap up to a maximum effective range of 2.0 meters. However, performance significantly declined with higher-frequency sounds like snapping or tapping at distances beyond 0.5 meters, revealing limitations in sensor sensitivity and environmental noise interference.\u003c/p\u003e\n\u003cp\u003eThe study concludes that while the Arduino-based Sound-Responsive Smart Lighting System is a highly effective tool for modern home automation, future iterations require more advanced sound-processing algorithms to further optimize energy conservation and minimize false triggering. 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