Survey Paper on Smart Homes: AI-Enabled Unified Environmental Safety System
Year: 2025
Type: article
Abstract: This system utilizes IoT technology to detect gas leaks and monitor air pollution in real-time, combining TinyML and a React Native mobile app. Designed for both residential and industrial applications, the system uses MQ2 and MQ135 sensors to identify gases like LPG, methane, and various pollutants. When integrated with equipment monitoring, it can swiftly detect leaks and minimize risks associated with harmful emissions. Data from the sensors is transmitted via a NodeMCU microcontroller to an IoT platform, allowing continuous monitoring and analysis. In case of a dangerous gas level, users receive immediate alerts through the mobile application, ensuring prompt action. This system not only ensures safety but also promotes environmental awareness and public health protection by offering a user-friendly interface and real-time safety notifications.
Authors: Beeta Narayan, Aswathy Rajan, Athira S M, Devika P S
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893334552
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