Project Keywords:
Infant Health, AI Monitoring, Smart Parenting, Wearables, Sleep Technology
Project Summary
Academic Area:
Project Medium:
AI-Powered Smart Bassinet for Infant Monitoring This intelligent baby care system integrates health tracking, cry detection, and environmental monitoring to ensure infant well-being. The AI-driven solution analyzes heart rate and respiratory patterns through advanced remote photoplethysmography (rPPG) and voice recognition technology. Real-time monitoring is accessible through a connected mobile application, allowing caregivers to track vital signs, sleep patterns, and environmental conditions effortlessly.
Project Achievements
Project Inspiration
Project Social Impact
By offering real-time health monitoring and automated soothing features, this technology enhances infant safety and reduces parental stress. The integration of machine learning enables early detection of irregularities, helping parents take proactive measures to ensure their baby’s well-being. Additionally, the ability to analyze environmental conditions ensures an optimal sleep environment, contributing to better infant sleep quality and overall development.
Project Market Demand
By offering real-time health monitoring and automated soothing features, this technology enhances infant safety and reduces parental stress. The integration of machine learning enables early detection of irregularities, helping parents take proactive measures to ensure their baby’s well-being. Additionally, the ability to analyze environmental conditions ensures an optimal sleep environment, contributing to better infant sleep quality and overall development.