MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611055140 A) filed by Manipal University, Jaipur, Rajasthan, on April 30, for 'a system for privacy-preserving household greywater reuse optimization using an on-device ai model and 45 kb 8 bit quantized mlp.'
Inventor(s) include Manoj Kumar Sharma.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a compact, privacy-preserving greywater management system. The system comprises a greywater inlet, multiple water-quality sensors, electronically actuated diverter valves, and a low-power microcontroller executing an approximately 45 KB 8-bit quantized multi-layer perceptron (MLP). The system periodically collects sensor data, computes a reuse score based on normalized turbidity, pH, conductivity, and predicted demand, and dynamically routes water to reuse, treatment, or sewer outlets. The microcontroller further performs on-device online gradient descent training using a local rolling data buffer, enabling continuous adaptation to household usage patterns without external data transmission. A treatment unit with filtration and optional UV disinfection supports safe reuse for intermediate-quality water. The system further comprises a storage tank, battery backup enabling fallback operation during power outages, and a local wireless interface, thereby ensuring efficient water conservation, reliability, low cost, and complete data privacy."
Disclaimer: Curated by HT Syndication.
