Air pollution detection and Monitoring with the smart sensor interface on the IoT platform

Air pollution has devastating impacts on the well-being of people, creatures, and ecosystems and the stability of the environment. The proportion of contaminants and strange circumstances in an area may be precisely monitored by an air pollution monitoring system, which has been recommended to mitigate and control air pollution. Furthermore, numerous IoT-related technologies have been created to analyze and monitor different metrics of air quality to lessen air pollution's negative effects. This Internet of Things (IoT)-based approach aims to track pollution in various locations, focusing on urban areas, utilizing a network of interconnected sensors. It's proposed that different stations be located in other parts of cities. Stations update the IoT cloud with data regularly. A smart sensor is a device that can collect data from its surrounding environment and analyze it using onboard computing capabilities after detecting a particular input. This article suggests an Internet of Things (IoT)-enabled smart sensor Interface (IoT-SSI) system for monitoring the air quality in densely populated places like shopping complexes. The sensors like MQ-2, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, and MQ-135, Temperature, and Humidity sensors are embedded to monitor the air quality. The platform's sensor networks use advanced processing utilizing multiple-input-single-output neural networks to get gas concentration values that account for temperature and humidity. The realtime readings from the sensor fusion model give a vast amount of data collecting and digitally providing services on these capabilities. In addition, it looks at various scenarios where IoT air quality monitoring technologies were tested and successfully passed in shopping complexes.