MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096403 A) filed by Velammal Institute Of Technology; Dr. R. Venkadesh; Mr. Nithin Kumar R; Jayashree S; Kurugunta Sai Swetha; Puja Parida S; and Samyuktha R P on August 10, 2026, for Deep Fake Detection Using Multi Modal Analysis With Convolutional And Recurrent Neural Networks.
Inventors include Dr. R. Venkadesh; Mr. Nithin Kumar R; Jayashree S; Kurugunta Sai Swetha; Puja Parida S; and Samyuktha R P.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: This abstract presents the design and development of an intelligent smart baby cradle aimed at enhancing infant safety and health monitoring, particularly during sleeping hours. Continuous monitoring of infants has become a critical concern for caregivers, as undetected abnormalities in vital parameters or environmental conditions can pose significant risks to infant well-being. The proposed system integrates Internet of Things (IoT), embedded systems, and Tiny ML techniques to enable real-time and efficient monitoring. An ESP32 microcontroller serves as the central processing unit, acquiring and analyzing data from multiple sensors, including temperature, heartbeat, breathing, and motion sensors. By leveraging Tiny ML for edge-based analysis, the system is capable of identifying subtle anomalies such as irregular breathing patterns, abnormal heart rate, excessive movement, and unsafe temperature levels with reduced latency compared to conventional cloud-dependent approaches. Upon detection of abnormal conditions, the system promptly generates alert notifications to caregivers via a GSM module, facilitating immediate intervention. Furthermore, the collected data is transmitted to a cloud platform, enabling real-time remote monitoring through a web dashboard and mobile application. Experimental observations indicate that the proposed system effectively detects anomalies and ensures reliable real-time monitoring performance. This work contributes to the advancement of intelligent healthcare solutions by integrating sensor technologies, edge intelligence, and IoT communication into a unified monitoring framework. The proposed smart cradle thus provides a proactive and dependable approach to infant care, significantly reducing risks associated with unattended conditions and improving overall safety.
Disclaimer: Curated by HT Syndication.
