MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076538 A) filed by Sasi Institute Of Technology And Engineering; A. V. N. Chandra Sekhar; G. Nageswara Rao; U. Srinadh; Subhash Bhagavan Kommina; K. Rama Mohana Rao; G. Saraswathi; A. Naga Jyothi; M. Thangamani; T Vinay; and P. Sudheer Kumar on June 20, 2026, for Iot-Based Infant Monitoring And Automated Cradle Control System.
Inventors include A. V. N. Chandra Sekhar; G. Nageswara Rao; U. Srinadh; Subhash Bhagavan Kommina; K. Rama Mohana Rao; G. Saraswathi; A. Naga Jyothi; M. Thangamani; T Vinay; and P. Sudheer Kumar.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention proposes an IoT-Based Infant Monitoring and Automated Cradle Control System designed to provide continuous infant supervision, automated caregiving assistance, and real-time remote monitoring. The system integrates an ESP32 microcontroller, sound sensor, moisture sensor, DHT11 temperature and humidity sensor, MQ135 air quality sensor, servo motor, LCD display, buzzer, ESP32-CAM module, and Wi-Fi communication capabilities to create a comprehensive infant monitoring solution. The ESP32 functions as the central processing unit responsible for acquiring sensor data, analyzing infant conditions, and controlling system operations. The sound sensor detects infant crying, the moisture sensor identifies wetness conditions, the DHT11 sensor monitors ambient temperature and humidity, and the MQ135 sensor measures air quality to ensure a safe environment for the infant. Upon detecting infant crying, the system automatically activates the servo motor to initiate gentle cradle rocking, thereby providing comfort without immediate caregiver intervention. In the event of abnormal conditions such as excessive crying, wetness, unfavorable temperature, humidity variations, or poor air quality, the system generates alerts through a buzzer and transmits notifications to caregivers through a cloud-based IoT platform. The ESP32-CAM module enables live video monitoring, while the LCD display provides local status information. Real-time sensor readings, alerts, and monitoring data are transmitted to a mobile application and web-based interface through Wi-Fi connectivity, allowing caregivers to remotely supervise infant conditions from any location. The system software is developed using Embedded C/C++ in the Arduino IDE and utilizes cloud-based IoT services for communication and monitoring. The proposed invention provides a cost-effective, scalable, intelligent, and user-friendly solution for enhancing infant safety, comfort, and healthcare monitoring. Experimental implementation and testing of the system demonstrated reliable performance in infant condition monitoring, automated cradle control, alert generation, and remote supervision, making it suitable for deployment in homes, childcare centers, hospitals, and smart healthcare environments.
Disclaimer: Curated by HT Syndication.
