Abstract: Environmental pollution has become one of the most critical challenges in modern society due to rapid industrialization, urban expansion, population growth, and increased use of fossil fuels. Among the various forms of pollution, air pollution and noise pollution are the most prevalent and harmful, as they directly affect human health, workplace safety, and environmental sustainability. Poor air quality caused by the presence of toxic gases and particulate matter can lead to serious health issues such as respiratory diseases, asthma, and cardiovascular disorders. Similarly, prolonged exposure to high noise levels in industrial environments can result in hearing impairment, mental stress, fatigue, and reduced productivity. Therefore, continuous monitoring of air quality and sound levels is essential to ensure safe and healthy working conditions. The Industrial Air Quality and Noise Pollution Monitoring System is designed to provide an efficient and reliable solution for detecting harmful environmental conditions in real time. The system is built using the ESP32 microcontroller, which serves as the central processing unit responsible for acquiring, processing, and analyzing sensor data. An MQ-2 gas sensor is used to detect the presence of combustible and hazardous gases such as LPG, smoke, and other volatile gases, while a sound sensor continuously measures ambient noise levels. These sensors collect environmental data and send it to the ESP32 for analysis and comparison with predefined safety threshold

Downloads: | DOI: 10.17148/IJIREEICE.2026.14322