MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048866 A) filed by Karpaga Vinayaga College Of Engineering And Technology; Dr. R. Delshi Howsalya Devi; Janani V; Avinash P; Maheshwaran J; Mirudhula K; Sharon Backiarani I; Madhumitha T; Karthika C; and Ms. Vishwapriya I, Chengalpattu, Tamil Nadu, on April 16, for 'ai-based smart diaper pod for real-time infant care.'
Inventor(s) include Dr. R. Delshi Howsalya Devi; Janani V; Avinash P; Maheshwaran J; Mirudhula K; Sharon Backiarani I; Madhumitha T; Karthika C; and Ms. Vishwapriya I.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This work presents an AI-Based smart diaper monitoring system designed to support continuous and automated monitoring of child hygiene and comfort through a wearable dual-pod architecture. The system integrates multiple sensing elements, including moisture, force, temperature, and movement detection, arranged within a compact Sense pod deposited near the diaper region for accurate data collection, while a Core pod performs embedded processing, on- device intelligent classification, power management, and wireless communication. Sensor's data are analyzed locally using edge-based processing to determine diaper conditions in real time, enabling low-latency performance, effective energy performance, and bettered data privacy. The Core Pod is enclosed within a flexible 3D- published TPU casing for durability, while moisture-resistant sealing applied to exposed factors of the Sense pod ensures reliable operation within a humid environment. Processed information is transmitted wirelessly to a caregiver mobile application, providing real-time alerts and status monitoring without homemade inspection. The lightweight dual-pod design supports comfortable long-term wear, and multi-sensor data fusion improves detection reliability while reducing false alerts. By combining embedded edge intelligence, wearable hardware integration, Firebase-based cloud support, and a mobile interface developed using React, Tailwind CSS, and Vite, the proposed system offers a practical and scalable approach for real- time child monitoring in home-care and childcare environments."
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