Intellectual Property India Publishes Patent Application for An Optical Particulate Matter Sensing System With Tinyml-Based Quantification And Real-Time Air Quality Index Computation For Ambient Air Quality Monitoring.

MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202631100729 A) filed by Dr. Subhrapratim Nath; Mr. Aritrash Sarkar; Ms. Adrija Ghosh; Ms. Ankana Debnath; Mr. Pritam Mondal; Mr. Roheet Purkayastha; Dr. Sudipta Ghosh; and Meghnad Saha Institute Of Technology on August 20, 2026, for An Optical Particulate Matter Sensing System With Tinyml-Based Quantification And Real-Time Air Quality Index Computation For Ambient Air Quality Monitoring..

Inventors include Dr. Subhrapratim Nath; Mr. Aritrash Sarkar; Ms. Adrija Ghosh; Ms. Ankana Debnath; Mr. Pritam Mondal; Mr. Roheet Purkayastha; and Dr. Sudipta Ghosh.

The application for the patent was published on October 02, 2026, under issue no. 40/2026.

Abstract: An integrated optical particulate matter air quality monitoring system and method are disclosed. The system utilises a 650 nm coherent laser diode and an orthogonally positioned BPW34 silicon PIN photodiode within a forced-induction sensing chamber to detect Mie scattered light from airborne particles. Photodiode nanocurrents are converted to voltage by an LM358 transimpedance amplifier and simultaneously processed by an LM339 quad comparator bank for digital PM classification and an ADS I I I 5 l6-bit ADC for high-resolution measurement. An ESP32 microcontroller receives digitized analog data and environmental measurements from an SHT30 temperature and humidity sensor. A TinyML inference model deployed on the microcontroller estimates PM2.5, PMl0, and PM25 concentrations, while a networked dashboard receives JSON payloads and computes real-time Air Quality tndex values using CPCB breakpoint interpolation. The system provides a compact, low-cost, and scalable monitoring architecture capable of simultaneous hardware-level classification, embedded quantitative estimation, environmental compensation, and real- time reporting without absolute dependency on cloud processing. The invention is suitable for ambient air quality monitoring in indoor, institutional, domestic, laboratory and distributed environmental sensing applications.

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