Sulfur Dioxide Emissions Detection and Quantification with SENSIA’s AI-Powered Infrared Imaging

Being a toxic gas, sulfur dioxide emissions directly pose negative environmental consequences

Sulfur dioxide emissions detection - continuous monitoring

AI-powered infrared imaging technology, particularly optical gas imaging (OGI), is revolutionizing gas detection and emissions quantification. With recent incorporation into EPA regulations for methane, its application extends beyond the oil and gas industry and into industrial chemical applications.

Sulfur dioxide (SO2), crucial in sulfuric acid production for metal refining, fertilizer production, and more, presents significant environmental challenges. According to the US Environmental Protection Agency (EPA), large concentrations of sulfur dioxide from industrial activity can cause acid rain, low air quality, smog and more. The EPA has also implemented environmental compliance standards meant to reduce sulfur dioxide emissions into the atmosphere.

Enter AI-powered infrared imaging, already employed by industry leaders in North America and Europe. This multifunctional SENSIA technology called RedLook offers real-time monitoring, precise quantification, and proactive anomaly detection, enhancing safety, compliance, and operational efficiency. The success of sulfur dioxide monitoring underscores the broader potential of AI-powered OGI in advancing industrial processes towards a safer, cleaner future.

Our portable Caroline Y and fixed Caroline FY cameras can detect sulfur dioxide emissions and quantify their leak rate.

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