MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089110 A) filed by Akhil Aneel Deshpande; Joseph Silvester K; P. Hemalatha; Dr. Anilkumar Tirunagari; Ramaraj. S; Dr M Kathirvelu; Navaneetha Krishnan; and V. Gayathri on July 22, 2026, for Intelligent Water Quality Monitoring System Using Iot And Ai.
Inventors include Akhil Aneel Deshpande; Joseph Silvester K; P. Hemalatha; Dr. Anilkumar Tirunagari; Ramaraj. S; Dr M Kathirvelu; Navaneetha Krishnan; and V. Gayathri.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: Water is the fundamental human need and is most essential for life as a driver of industrial applications, public health, environmental sustainability, and agriculture. Rapid industrialization, increasing population and subsequent urbanization, global warming, pollution, and climatic stress constantly threaten the quality of water bodies. Depleting quality can be hazardous in nature, as it leads to food poisoning, respiratory issues, skin diseases, diarrhea, and many other health-related problems apart from endangering aquatic ecosystems and life. An innovative IoT-based water quality monitoring system can tackle such issues and offer assessments in real-time. an AI-based smart water quality monitoring system using multisensors and IoT technology. The system utilizes temperature, pH, and turbidity sensors to continuously measure key water quality parameters in real time. An Arduino Uno integrated with dedicated software functions as the main control and processing unit. The collected sensor data is analyzed using artificial intelligence techniques to identify abnormal or unsafe water conditions. Real-time water quality information is displayed on an LCD for easy monitoring. A buzzer provides immediate alerts whenever the measured values exceed permissible limits. IoT connectivity enables remote access to data and system status through the internet. The system supports continuous, automated, and accurate water quality assessment. It significantly reduces the need for manual testing and human involvement. The proposed solution is cost-effective, scalable, and reliable. Overall, the system improves water safety and supports timely decision- making for water management. an AI-based smart water quality monitoring system using multi-sensors and IoT technology. The system utilizes temperature, pH, and turbidity sensors to continuously measure key water quality parameters in real time. An Arduino Uno integrated with dedicated software functions as the main control and processing unit. The collected sensor data is analyzed using artificial intelligence techniques to identify abnormal or unsafe water conditions. Real-time water quality information is displayed on an LCD for easy monitoring. A buzzer provides immediate alerts whenever the measured values exceed permissible limits. IoT connectivity enables remote access to data and system status through the internet. The system supports continuous, automated, and accurate water quality assessment. It significantly reduces the need for manual testing and human involvement. The proposed solution is cost-effective, scalable, and reliable. Overall, the system improves water safety and supports timely decision-making for water management.
Disclaimer: Curated by HT Syndication.
