The increasing urgency to address environmental pollution, particularly from industrial sources, has necessitated the development of innovative monitoring systems that can provide real-time insights into pollutant gas concentrations. This paper presented a novel deep learning-driven image captioning system designed specifically for real-time monitoring and predictive control of pollutant gas concentrations. By leveraging advanced machine learning techniques, the proposed system effectively analyzes images captured during gas capture processes, generating semantically rich and grammatically accurate captions that describe the visual content.