Intelligent Robot for Early Childhood Education

Abstract

The paper introduces a preschool robot with a face tracking module based on the application of artificial intelligence in early childhood education. The face recognition function based on the convolutional neural network and k-Nearest Neighbor classification method allows the early childhood robot to recognize a specified face. The two-degree-of-freedom PTZ can be automatically adjusted based on the PID (proportion-integralderivative) control to track a face. Preschool robots actively interact with young children and send their video information to parents in real-time, effectively establishing a communication bridge between the family and the campus. Because the preschool robot can track the specified face ID and send the video information directly to the parents, this avoids the wrong tracking of non-children and protects privacy to a large extent.