Particulate Data and our API

We have new hardware that informs machine vision technology to create real-time particulate data. Our API is a resource that can help developers help their data customers make better decisions concerning pollen and other airborne particulates like silica, mold and dust.

Automated particulate sampling, combined with machine learning and an API, provide a ready means for data customers to disseminate near real-time pollen data.

1st Real–Time, Ground–Truth, Spatially–Scalable Data Resource

  • Images are saved to a cloud service in real-time.
  • Pollen Sense caches data so internet disruptions don’t compromise information.
  • Raw images can be accessed in real-time for analysis or later for examination.
  • Access reports to past and present data.
  • Broader regional data are also available.

Historically, trained technicians have used mechanical devices to acquire particulate samples. At the very least this process creates a significant delay in the reporting. This approach is accurate but cumbersome.

Our API is part of a system that addresses these shortcomings. We’ve exposed the utility that could help in these sample applications:

  • Healthcare professionals can make more informed decisions concerning pollen allergens. The severity of allergy symptoms increases when exposure time and quantity go up. Our device allows pollen concentrations to be located and quantified in real time.
  • Silica particles are a health risk and can become airborne. One of our real-time sensing devices can provide data that help those managing the source of silica dust —or those downwind from a source— to take appropriate measures.
  • Having real-time particulate data can create opportunities for researchers who are trying to better understand when and where something is in our air and what it is.