MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641072959 A) filed by Saveetha Institute Of Medical And Technical Sciences on June 12, 2026, for 5g Enabled Smart Disaster Alert System For Hilly And Flood Prone Regions.

Inventors include Y. Charan Kumar Reddy; Dr. A. Karthik Raja; and Dr Ramya Mohan.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: ABSTRACT The present invention relates to a low-cost, scalable, and real-time disaster monitoring and alert system designed for hilly, flood-prone, and remote regions. The system integrates distributed sensor nodes equipped with vibration, rainfall, and temperature sensors that communicate wirelessly using LoRa long-range communication. A central processing. unit aggregates sensor data and triggers multi-level alerts through local sirens and mobile notifications using a 50-enabled gateway. Natural disasters such as floods, landslides, and seismic disturbances pose a serious threat to human life, infrastructure, and the environment, particularly in hilly, flood-prone, and remote regions. Delayed detection and lack of timely alerts significantly increase the severity of disaster impacts. This project presents a Smart Disaster Management and Alert System that utilizes loT -based environmental sensors, LoRa long-range communication, and 50-enabled alert dissemination to provide early warning and real-time monitoring of disaster conditions. The proposed system consists of distributed sensor nodes that continuously monitor rainfall, ground vibration, and temperature. The collected data is transmitted to a central processing unit where it is analyzed in real time. When abnormal conditions are detected, the system generates multi-level alerts that are communicated through local warning devices and remote mobile notifications. The system is designed to be costeffective, energy-efficient, scalable, and suitable for deployment in remote areas with limited internet connectivity. By enabling early detection and rapid response, the system aims to minimize loss of life and property during natural disasters.

Disclaimer: Curated by HT Syndication.