An intelligent baby monitoring system based on Raspberry PI, IoT sensors and convolutional neural network
Rabua Cheggou, Siham Si hadj mohand, Oussama Annad, El Hadi Khoumeri
Abstract
Taking care of a baby is a challenging task for working parents. In this paper, we present an intelligent baby monitoring system that allows parents to check on their baby remotely and in real time. The proposed system is based on the “Raspberry Pi 3 B +” card, a Pi camera, a sound and temperature sensors. To be more efficient, this system uses a convolutional neural network to identify and interpret the baby status in his cradle. The implementation and the experimental results of the proposed system demonstrate its efficiency and accuracy and how it can greatly help parents to take care of their baby.
Topics & Concepts
Raspberry piConvolutional neural networkInternet of ThingsComputer scienceTask (project management)Embedded systemReal-time computingArtificial neural networkHome automationArtificial intelligenceHuman–computer interactionEngineeringTelecommunicationsSystems engineeringInfant Health and DevelopmentIoT-based Smart Home SystemsWireless Body Area Networks