Spectroscopy: The Next Step for Low-Cost Particulate Matter Sensors

The landscape of ambient air quality monitoring is evolving, driven by the increasing availability of low-cost sensors. While current low-cost particulate matter (PM) sensors, which rely on light scattering, provide valuable data on particle size and number, they lack the ability to determine a particle’s composition. This limitation is a significant hurdle in understanding the true nature and origin of air pollution. The future of affordable PM sensors lies in spectroscopy, a technique that will allow for a more detailed analysis of airborne particles.

Read More »

From Boom to Bust: The Great IoT Air Quality Recession

The once booming Internet of Things (IoT) air quality monitoring market is facing a harsh reality check. Fueled by a surge in AI startups attracting investments and a subsequent saturation of low-cost air quality monitors, the industry is experiencing a period of upheaval. This downturn, dubbed “The Great IoT Air Quality Recession,” is forcing companies to adapt or face extinction. I see many high-profile executives leaving previously thought innovative startups in the realm of air quality in search of a more “stable” future.

A Wave of Investment and Sensor Saturation

AI startups like ChatGTP and similar, promising to leverage the power of machine learning to generate content or analyze data, became investor darlings. This new influx of cash is fueling the decline of IoT low-cost air quality solutions.

After the COVID-19 pandemic, the market quickly became saturated with low-cost monitors that promised that will fix indoor and outdoor environments. Buildings were filled with cheap monitors, but actionable insights remained scarce. The promised AI-powered analysis, in many cases, failed to materialize. Consumers were left with a plethora of data points with no clear understanding of what it all meant or what to do.

Read More »