MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621061012 A) filed by Dr. Saba Fatima; Dr. Alisha Priya; Dr. Mahantesh P Mattada; Dr. Sanjaykumar C. Gowre; Dr. Mohammad Ziaullah; Dr. Hameed Miyan; and Gargi Vikrant Dhanavade on May 13, 2026, for Aesthetic Design Of An Ai-Integrated Smart Water Filtration System.
Inventors include Dr. Saba Fatima; Dr. Alisha Priya; Dr. Mahantesh P Mattada; Dr. Sanjaykumar C. Gowre; Dr. Mohammad Ziaullah; Dr. Hameed Miyan; and Gargi Vikrant Dhanavade.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses an AI-based Smart Water Filtration Monitoring and Predictive Safety System designed to ensure safe and reliable drinking water through intelligent real-time monitoring, anomaly detection, and predictive maintenance. The system integrates Internet of Things (IoT)-enabled sensor nodes, artificial intelligence algorithms, machine learning models, and hybrid edge- cloud computing infrastructure to continuously monitor critical water quality and operational parameters including Total Dissolved Solids (TDS), pH level, water flow rate, pressure conditions, turbidity, and temperature variations. The collected sensor data undergoes preprocessing, normalization, and intelligent feature engineering to extract meaningful operational patterns associated with filtration system performance and reliability. The invention further employs advanced machine learning and deep learning models including Random Forest, XGBoost, Isolation Forest, Autoencoders, Long Short-Term Memory (LSTM), and Prophet forecasting algorithms for classification, anomaly detection, and predictive maintenance analysis. The system identifies hidden operational failures such as membrane degradation, leakages, tampering attempts, and abnormal pressure conditions before complete filtration failure occurs. Additionally, the invention incorporates a dynamic Water Trust Score mechanism, multilingual SMS alerts, and dashboard-based monitoring interfaces to improve transparency, public confidence, and preventive maintenance efficiency. The proposed hybrid edge-cloud architecture enables scalable, low-cost deployment across rural and urban environments, thereby reducing waterborne disease risks and enhancing sustainable water safety management.
Disclaimer: Curated by HT Syndication.
