Design and Implementation of Smart Baby Feeding System: A Fusion of Image Processing and IoT Technologies.
Keywords:
Arduino microcontroller, Artificial Intelligence, Deep-Learning, Image Processing, Internet of Things, Smart Cradle.Abstract
A cradle is an environment that gives comfort, protection to the babies. When parents are busy working with the household things, they put their babies in the cradle. When babies are in the cradle, the parents should always check them time to time and feed them when they are hungry. There are existing systems that gives the baby good feeling by swinging the cradle, and some plays music to make the baby happy, and some are equipped with lots of sensor which are transmitted to a mobile app where parents can monitor them in live. In this research, we intend to design and develop an Internet of Things (IoT) and machine learning based system integrated with cradle which feeds the baby as a response to the baby’s cry using a robotic arm. It uses Raspberry pi combined with Arduino microcontroller to perform the operation. This system continuously watches the baby and saves his mouth location. When the baby cries, the system sends the direction signals to control the robotic arm, which is holding sipper filled with milk, to put sipper in the baby’s mouth. To send direction signals to the arm, we developed an algorithm which works based on the locations of the mouth and the sipper. The system discards the locations other than mouth, which can be danger to the baby, ensuring safety and certainty. In optimal conditions (such as light, sound), our system successfully detected the mouth and gave directions to the arm with 98% accuracy to move the sipper to the mouth. In future, this system can be modified in such a way that the arm can be controlled remotely with mobile devices to feed the baby.
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