MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202641099520 A) filed by St. Josephs College Of Engineering; and Dr. P. Velmurugan on August 18, 2026, for An Ai And Iot-Based Multi-Hazard Prediction And Alert System For Floods, Earthquakes, And Tsunamis Using Embedded Sensors And Machine Learning.
Inventors include St. Josephs College Of Engineering; Dr. P. Velmurugan; Priyanka G; and Priyanka V.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: The collected sensor data is processed and analyzed using machine learning techniques such as Random Forest and Support Vector Machine (SVM) to improve prediction accuracy and reliability. To overcome communication challenges in remote areas with limited internet connectivity, USART serial communication is used to connect the ESP32 with a GSM module. This allows the system to send instant SMS alerts to local residents and disaster management authorities during emergency situations. In addition, on-site alarm systems provide immediate warnings to nearby people. Experimental results show that the proposed system provides fast response, low latency, high accuracy, and cost-effective performance, making it suitable for disaster monitoring and early warning applications.
Disclaimer: Curated by HT Syndication.
