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BabyEase Cradle: Automated Infant Care System
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Abstract: The BabyEase Cradle is an innovative, Internet of Things (IoT)-based automated cradle system designed to enhance the comfort, safety, and convenience of infants and parents alike. Utilizing a Raspberry Pi 4 as the central processing unit, the system integrates a suite of sensors to provide continuous environmental and physiological monitoring. Key parameters such as ambient temperature, humidity, and moisture are tracked via DHT11 and rain sensors, while a PIR sensor and an analog microphone (integrated with an ADS1115 ADC) detect infant movement and crying, respectively. The system employs intelligent automation to respond to the infant's needs: detection of a cry triggers a DC motor for gentle rocking and a buzzer to play soothing melodies, while a cooling fan activates automatically if temperatures exceed predefined safety thresholds. For remote supervision, a Flask-based web dashboard provides real- time sensor telemetry and a live video feed via a USB webcam. This interface also grants parents manual override capabilities for all actuators. Furthermore, the system ensures rapid response through instant mobile alerts via the Pushover notification service in the event of crying, motion, or adverse environmental changes. By reducing the demand for constant manual supervision and leveraging embedded systems for smart childcare, the BabyEase Cradle represents a significant advancement in intelligent, connected parenting solutions.
Keywords: Raspberry Pi, IoT (Internet of Things) Smart Childcare, Raspberry Pi 4, Embedded Systems Automated Cradle, Real-time Monitoring Sensor Fusion, Flask Web Dashboard, Remote Surveillance.
Keywords: Raspberry Pi, IoT (Internet of Things) Smart Childcare, Raspberry Pi 4, Embedded Systems Automated Cradle, Real-time Monitoring Sensor Fusion, Flask Web Dashboard, Remote Surveillance.
How to Cite:
[1] Prof.Sweta Waghmare, Atharv Shirkar, Saeed Thakur, “BabyEase Cradle: Automated Infant Care System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15472
