Development of an IoT based Smart Baby Monitoring System with Face Recognition

Nowadays, people have a very busy and hectic life; thus, taking care of an infant constantly is tough. Especially for working parents, a modernized IoT-enabled baby management system will be beneficial. In these modern times, most children are taken care of by their grandparents, housemaids, or babysitters during the daytimes. In this work, we are using a very efficient and user-friendly technology to implement automatic swinging of the baby bassinet with sound detection of the baby crying using sound sensor and playing lullaby through speakers. The humidity sensor has been used to know the diaper's moisture level, and notifications have been sent to parents with certain conditions through mobile calls and text messages. A webpage using HTML and CSS has been developed, where parents/guardians can supervise the baby in real-time. Finally, the system will detect if the baby is in the cradle using the face recognition technique. This exciting feature is implemented by using a Raspberry Pi 4 (Model B), which is equipped with a Pi camera that will also offer the parents a livestream option. The proposed baby monitoring system is believed to be an improved technology for new and working parents and colossal help and riddance of unrequired tensions.