Published Paper Details:

This paper presents the design and development of an Internet of Things based solution for urban environmental monitoring and pollution hotspot detection. The system integrates with a Espressif Systems 32-WROOM microcontroller for sensor data acquisition, while the Espressif Systems 32 Wi-Fi module processes the data and sends it to a central server, where Geographic Information System mapping is used to visualize pollution hotspots in real time. The Long Range Radio Frequency RF module extends the communication range in urban areas with limited cellular coverage. Geographic Information System mapping helps visualize pollution levels across urban areas, facilitating the identification and management of pollution hotspots. To enhance pollution mitigation, the system integrates an Active Carbon Filter, which helps reduce airborne pollutants before data collection. The filter is placed near gas sensors (MQ-135, MQ-7, MQ-8) to compare pre-filtered and post-filtered air quality, providing insights into filtration efficiency. It actively removes harmful gases such as carbon monoxide, Nitrogen Oxides, and Volatile Organic Compounds, supporting sustainable urban management. This system supports data-driven decision-making and timely interventions, contributing to sustainable urban planning and public health initiatives. The system aims to offer valuable insights into pollution trends, aiding in the identification of critical areas for intervention. Additionally, the use of a low-power, low-cost microcontroller makes it suitable for large-scale deployment in urban environments.