Vision Cradle: AI-Based Smart Baby Comfort System Using Husky Lens
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How to Cite

G., Vivek, Harshith Royal A., Varshika B., Midhun B., and Rajavardhan Reddy D. 2026. “Vision Cradle: AI-Based Smart Baby Comfort System Using Husky Lens”. Journal of ISMAC 8 (3): 207-23. https://doi.org/10.36548/jismac.2026.3.002.

Keywords

Smart Cradle
Infant Monitoring
Artificial Intelligence (AI)
Internet of Things (IoT)
Embedded Systems
Husky Lens
ESP32
Edge AI

Abstract

Vision Cradle is an AI-driven smart baby comfort system that allows infant monitoring and automated caregiving by leveraging the power of vision, IoT, and edge computing. Vision cradle makes use of HuskyLens AI vision sensor to detect the presence of babies and categorize their behavior (e.g., whether the infant is sleeping or crying). The processed data are analyzed by an ESP32 microcontroller which triggers actions according to detected conditions such as swinging of the cradle and audio soothing. To detect the presence of wet diaper, moisture sensor is used. In addition, remote monitoring is made possible by using the cloud computing capabilities of the Thingspeak platform and instant alerting via Telegram and SMS services. Evaluation was conducted experimentally where 98.4%, 96.8% and 95.6% accuracy rates were recorded for detecting infant presence, crying and sleeping state respectively.

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