What if a baby’s crib could watch over them while they sleep, automatically rock them when needed, and help parents train healthy sleep habits—all through computer vision and smart technology? Researchers from Universitas Andalas have developed exactly that: an intelligent baby bed system that combines monitoring, automation, and sleep training support in one innovative device.
The smart crib uses a Raspberry Pi Camera V2 and Viola-Jones algorithm to continuously monitor babies during sleep, recording video data and analyzing sleep patterns in real-time. Parents can control features like automatic rocking, mosquito net deployment, and soothing audio through a connected smartphone app. Testing with multiple infants showed the system effectively supports sleep training while providing parents with detailed sleep development data and remote monitoring capabilities.
Beyond basic monitoring, the system addresses practical parenting challenges by incorporating temperature and humidity sensors, cry detection, educational content for parents, and automated comfort features. This technology-driven approach helps parents implement sleep training methods more confidently while ensuring their baby’s safety and comfort through continuous, intelligent observation.
The research demonstrates how Internet of Things (IoT) and computer vision technologies can transform traditional childcare practices, offering a replicable model for smart baby monitoring systems worldwide. This interdisciplinary approach—combining electrical engineering, medical knowledge, and psychology—shows the potential for technology to enhance both infant care and parental confidence in establishing healthy sleep routines.
Read the complete research: Rancang Bangun Tempat Tidur Bayi Berbasis Computer Vision untuk Membantu Sleep Training pada Bayi – Applied Engineering, Innovation, and Technology, Vol. 1, No. 1, 2024 (Note: Full paper is in Bahasa Indonesia)
Authors: Farras Zachran Anthony, Syarif Ali, Mutiara Ali, Fatima Diyas Zahra, Irli Masitah