The latest advancements in air quality monitoring strategies have made it possible to appropriately discover the presence of air pollution along with particulates, gaseous compounds, and their chemicals. An extra comprehensive approach to quantifying air-pollutant stages is to install Hyper Spectral imagery of enclosed surroundings combined with superior sensors. Such a technique allows for the detection and quantification of pollutant debris's chemical and structural additives, which can be regularly too small for imaging through individual sensors. This paper studies Hyper Spectral Imaging to evaluate and identify combustion pollutants’ chemical and structural compositions. The consequences imply that this approach can offer dependable and accurate information, including the design of the contaminants, their size and vicinity, and a higher knowledge of emission assets. Moreover, the inexpensive method can detect and map pollutant levels in enclosed environments. It is a foundation for further investigation on using Hyper Spectral Imaging in air-friendly monitoring and analysis.