Smart Nursery Guard For Infants

• Author(s):

  Ranjith A | Venkatesan G | Vekash | Dr Sathiya Priya S

• Keywords:

  Smart Cradle, Infant Monitoring, IoT, Embedded Systems, Health Tracking, Baby Safety, Real-time Monitoring, Wearable Sensors, Remote Healthcare, Automated Infant Care.

• Abstract:

  The Proposed Smart Cradle System Is An Innovative Solution Designed To Enhance Infant Safety And Parental Convenience Through Advanced Monitoring And Automation Technologies. The System Integrates Multiple Sensors And Smart Modules To Detect And Respond To An Infant's Vital Signs, Environmental Conditions, And Activity Levels. Key Features Include Real-time Monitoring Of Heart Rate, Temperature, Moisture Levels, And Motion Using IoT-enabled Devices. Cry Detection Is Paired With An Automatic Lullaby Player To Soothe The Baby Without Manual Intervention. The Cradle Also Incorporates A Smart Rocking Mechanism Activated Based On The Baby's Activity Or Parent Input. This System Utilizes The ESP8266 And ESP32 Microcontrollers, A Temperature Sensor, Heartbeat Sensor, Sound Sensor, Moisture Sensor, And A GPS+GSM Module For Alert Communication. Real-time Data Is Streamed To A Firebase Cloud Database, Enabling Remote Access For Parents Through A Mobile Application. Additionally, The System Integrates A Camera For Live Video Streaming, Providing Visual Supervision. The Project Emphasizes Low-cost Design, Reliability, And Future Scalability. In Emergencies, The Cradle Automatically Alerts Guardians With Vital Parameters And Location Via SMS And Mobile Notifications. Through Effective Use Of Embedded Systems And IoT, The Smart Cradle Aims To Provide A Comprehensive Infant Care Platform That Reduces The Burden On Caregivers While Ensuring The Safety And Comfort Of The Child. Future Enhancements Include AI-driven Cry Pattern Analysis And Predictive Health Insights, Positioning This Cradle As A Pioneering Step Toward Intelligent Infant Care Systems.

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Other Details

• Paper id:

  IJSARTV11I5103569

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-15

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