Moving air through the system in a repeatable way.
A machine cannot smell well if air reaches the sensor randomly. It needs a controlled breath — a repeatable path from sample to chamber and back to a clean baseline.
What we research
Airflow, chamber shape, pump timing, clean-air purging, and recovery time often decide whether a smell reading is useful at all. Aeralyte treats sampling, sensing, and AI as one system — and puts more early effort into active sampling than into exotic sensors.
Technical terms: active sampling, micro-pumps, valves, sensor chamber, purge cycle, flow control.
The path
Where this stands
Every run records its sampling context — room volume, ventilation, pump flow, sample period — alongside the sensor stream, and the analysis is built so context can explain a reading but never substitute for the sniff. Characterizing real airflow — pump timing, purge, and recovery — is the next bench work.
Run metadata schema — fields recorded with every run
Further reading
- →Machine smell — the array the sample is drawn across.
- →Drift & reality — why we track context against real-world change.
- →AER protocols — the sampling sequences in preparation.