Socially Assistive Robot Interaction by Objects Detection and Face Recognition on Convolutional Neural Network for Parental Monitoring

Abstract

The technology of robots has developed to help humans in many ways. It is not only limited to assist but also to interact socially with humans. Robots can interact socially with humans by utilizing the concept of artificial intelligence based on machine learning. In this paper, the prototype of Socially Assistive Robot (SAR) implemented artificial intelligence by using object detection and face recognition based on convolutional neural network and communication reports to Telegram Apps. To interact verbally, Google Assistant was required. The prototype was a successfully created and social interaction robot with an average face recognition accuracy is 85.41%.