Abstract: A system and methods of tracking and identifying airborne particles using sensing devices that may include a fan and a collection plate. The fan forces air through the sensing device and airborne particles onto the collection plate. An imaging device captures images of the particles on the collection plate for analysis and identification. An image processing device determines pre-identified particles in the images. The images of other particles are processed and identified by a neural network processing device. Recommendations based on particle counts are provided to a user device. The user device may automatically control one or more devices in response to the recommendations.

Abstract: A sensing device includes a sensor configured to obtain a spectral signature of at least one airborne particle. The sensor control circuitry is configured to compare the spectral signature of the at least one particle in the airflow with the reference spectral signatures for the plurality of types of particles and identify a first type of particle corresponding to the at least one particle in the airflow. The sensor control circuitry may also access a database to obtain health advice associated with the identified first type of particle and provide a report to a user device.