Environmental Monitoring

The Elintrix approach

Predictive models for chemical composition

Leverage solid state and optical sensing technology

Biologically inspired sensor array design

A case study

The objective

A DOD research laboratory requested a means of using low-cost sensors to detect the presence of certain, hazardous, airborne chemicals.

The work

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 outcome

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.