MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611055139 A) filed by Manipal University, Jaipur, Rajasthan, on April 30, for 'an edge ai-enabled adaptive street lighting adjustment system with pollution-adaptive dimming algorithm.'
Inventor(s) include Manoj Kumar Sharma.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an edge AI-based adaptive street lighting system with Pollution-Adaptive Dimming Algorithm (PADA) using a 32 KB 8-Bit quantized MLP. The system comprises a pole-mounted LED lighting unit, an air quality sensing module, and an edge processor operable to perform real-time pollution-responsive dimming. The processor has a pollution index (PI) from particulate and gaseous data and determines a dimming factor (DF) using a locally executed pollution-adaptive dimming algorithm without reliance on cloud infrastructure. The system performs on-device continual learning by updating pollution weight parameters based on locally observed environmental and activity data. A motion detection module generates a motion confidence score to trigger a temporary brightness override for safety. The system further includes an energy-constrained fallback mode that enforces reduced illumination and pauses learning upon detection of low grid voltage. Data transmission is limited to periodic aggregated summaries, thereby minimizing bandwidth usage while ensuring autonomous, energy-efficient, and reliable street lighting operation."
Disclaimer: Curated by HT Syndication.
