MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611107717 A) filed by Maharishi Markandeshwar Deemed To Be University on September 05, 2026, for Forecasting Electric Mobility And Smart Air Pollution Control Using Machine Learning.
Inventor includes Tejinder Kaur.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An air quality monitoring and alert system is disclosed for low-cost, real-time detection of hazardous environmental pollutants. The portable system comprises an MQ135 gas sensor configured to detect airborne concentrations of ammonia, benzene, carbon monoxide, carbon dioxide, and smoke, an Arduino Nano microcontroller for real-time signal processing, a 16×2 character LCD screen for dynamic data rendering, and an audible alarm circuit incorporating a BC547 switching transistor driving a 5"V" DC piezo buzzer. Integrated onto a printed circuit board (PCB) within a ventilated enclosure, the low-power device continuously translates analog sensor signals into numerical Air Quality Index (AQI) values and qualitative status tiers (Good, Moderate, High). When detected pollution levels exceed a pre-calibrated safety threshold, the Arduino Nano switches the BC547 transistor to sound the buzzer within seconds of exposure, automatically silencing the alert once pollutant levels return to safe limits.
Disclaimer: Curated by HT Syndication.
