Survey Paper on Smart Homes: AI-Enabled Unified Environmental Safety System

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.15099356
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Survey Paper on Smart Homes: AI-Enabled Unified Environmental Safety System

Zenodo (CERN European Organization for Nuclear Research)
Air Quality Monitoring and Forecasting
article

Survey Paper on Smart Homes: AI-Enabled Unified Environmental Safety System

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Air Quality Monitoring and Forecasting
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