MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000842 A) filed by Mangalmay Institute Of Management & Technology, Greater Noida, Uttar Pradesh, on Jan. 5, for 'iot-enabled adaptive street lighting system for enhanced visibility in foggy conditions.'
Inventor(s) include Arun Pratap Srivastava; Ashu Singh; and Meha Mathur.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-enabled adaptive street lighting system designed to enhance visibility under foggy and low-visibility conditions while optimizing energy consumption. The system comprises a network of street light units, each equipped with environmental sensors, an adaptive LED lighting array, a microcontroller, and an IoT communication module. Real-time sensor data, including fog density, ambient light, temperature, and humidity, is processed by the microcontroller to dynamically adjust illumination levels, beam angles, and coverage patterns. IoT connectivity enables remote monitoring, predictive maintenance, and data analytics for energy-efficient operation. The system improves safety for drivers and pedestrians, reduces operational costs, minimizes light pollution, and provides a scalable and sustainable solution for modern urban and rural road networks."
Disclaimer: Curated by HT Syndication.
