Once the odor signatures are detected, software then interprets those signatures based on a database of previously collected and analyzed odors. If you think of the sensor as our nose, then the software is the brain and database universes are our memory bank. And just like our brains rely on memories to correlate individual smells to life experiences and learnings and classifies the odor accordingly, our software relies on our data universes to recognize the odors presented to the device.
Detection of odors
Classification of odors
Clustering odor signatures
Using AI to compensate for water and humidity
In many use cases, water is a major component of the odor sample due to water vapor in the environment. By using the software analytics component of digital olfaction, the solution takes into account the odor impact of water and isolates the “dry” odor from it. The figure to the right demonstrates how the scent of lemon would appear digitally—both in its raw diluted form in water and also with advanced humidity analysis (“Dried” Lemon Beverage).