An intelligent baby monitoring system based on Raspberry PI, IoT sensors and convolutional neural network

The current number of working mothers has greatly increased. Subsequently, baby care has become a daily challenge for many families. Thus, most parents send their babies to their grandparent house or to baby care houses. However, the parents cannot continuously monitor their baby conditions either in normal or abnormal situations.

Therefore, an Internet of Things-based Baby Monitoring System is proposed as an efficient and low-cost IOT-based system for monitoring in real time. In the designed system, Raspberry pi Controller Board is exploited to gather the data read by the sensors and uploaded via Wi-Fi to the server. The proposed system exploits sensors to monitor the baby's vital parameters, such as ambient temperature, moisture, and crying.

Parents can also monitor their baby condition through an external web camera. The proposed system prototype is fabricated and tested to prove its effectiveness in terms of cost and simplicity and to ensure safe operation to enable the baby-parenting anywhere and anytime through the network.

Keywords: Baby monitoring system, IOT, Raspberry Pi.