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@article{202278,
        author = {Ayush S Shirke and Mr.Pranav P Londhe and Miss.Prach A Patil and Miss.Diksha V Patil and Mr.Padmanish E Patil and Prof.P.S Pise},
        title = {IoT-Based Intelligent Baby Cradle},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {6170-6179},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202278},
        abstract = {Caring for infants requires constant attention, and continuous manual monitoring can be challenging for parents and caregivers, especially in today’s fast-paced lifestyle. To address this issue, this project presents an IoT-Based Intelligent Baby Cradle designed to improve infant safety, comfort, and remote monitoring through smart automation. The proposed system integrates an ESP32 microcontroller with multiple sensors, including sound, motion, temperature, humidity, and wetness sensors, to monitor the baby’s condition in real time. By collecting and processing sensor data continuously, the system can detect situations that require immediate attention and respond automatically without depending entirely on human intervention.
One of the major features of the intelligent cradle is its ability to respond when the baby cries. Using sound detection, the system identifies crying patterns and activates an automatic rocking mechanism to soothe the baby. At the same time, a DFPlayer Mini module plays a soft lullaby to create a calming environment. In addition to comfort-based responses, the system also monitors environmental conditions around the baby. If abnormal temperature levels, excessive humidity, or wetness are detected, instant alerts are sent to parents through the Blynk mobile application, allowing quick action from any location. To further strengthen monitoring, an ESP32-CAM module provides live video streaming, enabling parents to check on the baby remotely in real time.
The system is developed using a structured engineering process that includes sensor data acquisition, signal processing, automated action triggering, IoT connectivity, and power-efficient operation. All components are integrated to create a reliable, affordable, and practical smart cradle system suitable for modern households. Experimental testing demonstrates that the cradle can respond to a baby’s cry in less than 2.5 seconds, showing effective real-time performance and prompt automated assistance.
The proposed Intelligent Baby Cradle not only reduces the burden of continuous manual supervision but also enhances infant care through automation, remote accessibility, and timely alerts. The project offers a cost-effective and scalable solution that combines embedded systems and IoT technology to support smarter parenting. This research highlights how intelligent automation can improve both baby comfort and caregiver convenience, making the system a promising approach for future smart healthcare and childcare applications.},
        keywords = {},
        month = {May},
        }