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LED PEDD Discharge Photometry: Effects of Software Driven Measurements for Sensing Applications.


ABSTRACT: This work explores the effects of embedded software-driven measurements on a sensory target when using a LED as a photodetector. Water turbidity is used as the sensory target in this study to explore these effects using a practical and important water quality parameter. Impacts on turbidity measurements are examined by adopting the Paired Emitter Detector Diode (PEDD) capacitive discharge technique and comparing common embedded software/firmware implementations. The findings show that the chosen software method can (a) affect the detection performance by up to 67%, (b) result in a variable sampling frequency/period, and (c) lead to an disagreement of the photo capacitance by up to 23%. Optimized code is offered to correct for these issues and its effectiveness is shown through comparative analyses, with the disagreement reduced significantly from 23% to 0.18%. Overall, this work demonstrates that the embedded software is a key and critical factor for PEDD capacitive discharge measurements and must be considered carefully for future measurements in sensor related studies.

SUBMITTER: Fay CD 

PROVIDER: S-EPMC8879031 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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LED PEDD Discharge Photometry: Effects of Software Driven Measurements for Sensing Applications.

Fay Cormac D CD   Nattestad Andrew A  

Sensors (Basel, Switzerland) 20220216 4


This work explores the effects of embedded software-driven measurements on a sensory target when using a LED as a photodetector. Water turbidity is used as the sensory target in this study to explore these effects using a practical and important water quality parameter. Impacts on turbidity measurements are examined by adopting the Paired Emitter Detector Diode (PEDD) capacitive discharge technique and comparing common embedded software/firmware implementations. The findings show that the chosen  ...[more]

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