The Elintrix approach
Predictive models for chemical composition
Leverage solid state and optical sensing technology
Biologically inspired sensor array design
A case study
A DOD research laboratory requested a means of using low-cost sensors to detect the presence of certain, hazardous, airborne chemicals.
Elintrix employed principles of bio-mimicry, signal processing and machine learning to construct sensor-array architectures with performance that exceeds the native performance of individual sensors.
The arrays provide a means of discriminating between individual gases in a complex environment, while a custom-built software tool provides an intuitive interface for processing data and building predictive models.