Our First Product, FiaPhy

Last Updated: 6th December 2025/ Build 1.1.2

FiaPhy / News


Our FiaPhy Visual Studio Extension was downloaded by more than 45 users on Marketplace
https://marketplace.visualstudio.com/items

We are now in official Arduino libraries list.https://docs.arduino.cc/libraries/fiaphy

On PlatformIO, our Fiaphy framework was downloaded 5+ times (overall) obtaining an upper-middle rank.
registry.platformio.org/libraries/fiaos-org/FiaPhy

Patent Pending in The United States of America
System and Method for Indirect Estimation of Solar Irradiance and Heat Flux via Differential Thermodynamic Sensing
US 63/937,986 % Sent December 26, 2025



How Novel, Physics based Frameworks are Shaping the Future of Sensing [video]



Share the invention FiaPhy and how it can make a difference in the world. We invite you to download the presentations and present them, or use them for your own presentation.

Download the presentation (PPTX) to share at your school or club Download the PDF to share online
Modern methods of environmental monitoring are deficient in the lack of ability to take measurements of energy flows since traditional readings involve capturing parameters such as temperature, pressure, and humidity without considering their physical causes. The present research describes Differential Temporal Derivative Soft-Sensing (DTDSS), a physics-based approach which enables any ordinary low cost sensor array to infer estimates of the energy exchange in the environment by modeling its radiative heat fluxes. In particular, the proposed approach combines a novel paired sensor configuration along with a unique algorithmic solution called Inertial Noise Reduction or INR, that mathematically models the flow of energy in the environment by computing Global Horizontal Irradiance, or GHI, and convective heat flux. Experimental field testing has been conducted with the use of calibrated reference pyranometers supplied by the Department of Meteorology of Sri Lanka, yielding a correspondence between 8-bit embedded processor results and the reference of R2 ¿ 0.9 and RMSE approx. eqv. to 45 Watts per square meter in under 2KB RAM of a microcontroller unit.

FiaPhy Library

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