BABY MONITORING SYSTEM THROUGH FACE DETECTION USING IMAGE PROCESSING

Due to the increasing challenges of parenting, particularly for working mothers, continuous monitoring of a child has become difficult. To address this issue, a smart baby monitoring system based on IoT and machine learning has been developed to provide real-time intimation to parents. The system monitors room temperature, humidity, cry detection, and facial recognition using various sensors, and the data is transmitted to the Adafruit server through controllers with an Internet connection. The machine learning model is used to detect the facial emotions of registered babies. Parents can monitor the live activities and emotions of their child through an external web camera and remotely swing the baby cradle upon cry detection using their web application. Real-time room temperature and humidity levels can also be checked. In case of abnormal actions, the system sends notifications to the parent's web application, providing a relief for all working parents to efficiently manage their time while taking care of their babies.