In recent years, air pollution has become a major global concern due to its detrimental effects on human health and the environment. Traditional air quality monitoring systems provide valuable data but often lack citizen engagement and fail to capture the spatial and temporal variations in pollution levels. This paper proposes a novel Cyber-Physical-Social System (CPSS) framework that integrates citizen participation and image-form air quality data to enhance the monitoring and understanding of air pollution. The proposed system design empowers citizens to actively contribute to air quality monitoring, fosters social awareness, and enables informed decision-making for improved air quality management.