MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061294 A) filed by Dr. G. Janaka Sudha; P. Selvamani; V. Radha; E. Raghuvaran; and K. Francis David on May 14, 2026, for An Intelligent Real-Time Disaster Detection And Alerting Framework Using Iot Devices And Deep Neural.
Inventors include Dr. G. Janaka Sudha; P. Selvamani; V. Radha; E. Raghuvaran; and K. Francis David.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention proposes an intelligent real-time disaster detection and alerting framework that integrates Internet of Things (IoT) devices with advanced deep neural network models to enhance early warning capabilities and minimize disaster-related risks. The system employs a distributed network of IoT sensors to continuously monitor environmental parameters such as temperature, humidity, gas concentration, seismic activity, and water levels across vulnerable regions. These sensors transmit realtime data to a centralized or cloud-based processing unit for analysis. A deep learning module, comprising optimized neural network architectures, processes the incoming sensor data to identify patterns, anomalies, and potential disaster events such as floods, earthquakes, wildfires, and industrial hazards. The model is trained on historical and real-time datasets to ensure high accuracy, adaptability, and predictive performance under dynamic conditions. Upon detection of a potential threat, the system automatically generates alerts and disseminates warnings through multiple communication channels, including mobile applications, SMS, and web-based platforms, ensuring rapid information delivery to authorities and the public. The proposed framework emphasizes scalability, low latency, and robustness, enabling deployment in both urban and remote environments. Additionally, it incorporates data fusion techniques and edge computing capabilities to reduce response time and enhance decision-making efficiency. By leveraging the synergy between IoT sensing and deep learning intelligence, the system significantly improves disaster preparedness, reduces response delays, and enhances overall resilience, thereby contributing to the protection of human lives, infrastructure, and environmental resources.
Disclaimer: Curated by HT Syndication.
