Gabriel L. Pirotello

A Lightweight Deep Learning Approach for Autonomous Detection of Risky Infant Sleep Postures

This study develops a high-performance, non-invasive vision-based system for the autonomous detection of risky infant postures and establishes a robust computational foundation for future privacy-preserving, localized monitoring solutions that can provide immediate, life-saving alerts in home environments.