A Novel based approach of home automation system for constrained edge IOT devices

dc.contributor.authorPriyanshu Roy 1NH20CE033; Vinay Krishnan 1NH20AI138; Tarun S 1NH20AI108; Kavya Sivakumar 1NH20AI047
dc.date.accessioned2025-05-31T10:28:28Z
dc.date.available2025-05-31T10:28:28Z
dc.date.issued2024
dc.description.abstractIn the context of contemporary living, existing smart home systems exhibit limitations in offering a comprehensive, tailored experience. Our forthcoming home automation project, leveraging BluFi Mesh and Matter OS integration, seeks to address these shortcomings. Focused on rectifying the deficiencies in current systems, our initiative aims to create an intelligent, adaptable ecosystem that emphasizes user preferences, robust security, seamless entertainment integration, energy efficiency, and real-time responsiveness. Our novel approach merges BluFi Mesh networking with the advanced Matter OS platform, establishing a robust infrastructure for a home server that operates discrectly, resourcefully, and securely, granting occupants control while safeguarding their privacy. Distinguishing our system integrates Al-powered features recognizing occupants, their preferences, and prioritizing safety. When entering the house, the occupant is instantly identified, customizing ambiance based on preferences, and ensuring security through face recognition and radar-based classifications. Beyond this, our system also aims to integrate popular entertainment services offering effortless access and control via simple voice commands or device taps. Additionally, our project emphasizes on power usage visualization that empowers users to monitor and optimize energy consumption, contributing to environmental sustainability while reducing utility costs. Our project aims for low-latency operations, guaranteeing instant, seamless interactions.
dc.identifier.urihttp://192.168.75.5:4000/handle/123456789/19198
dc.language.isoen
dc.publisherNHCE
dc.titleA Novel based approach of home automation system for constrained edge IOT devices
dc.typeLearning Object
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