Design of a mechatronic system using Arduino and/or Raspberry Pi 3

Abstract

Technology has advanced rapidly over the decade and development of online games has flourished. Online games can be found everywhere, from handphones to desktop and even handheld tablets. To add on, such devices have become easily accessible to the common household where even young children consume the usage of such devices daily. This had led to an increase in the duration of electronic device consumption of children. This project aims to inculcate machine learning into prototype toy models to showcase possible technological advancement of toys to reduce screen time consumption of children. The prototype to be made will be an Automatic Nerf Turret (ANT). The ANT will fire a nerf bullet upon detection of a human. This prototype will be a form of proposed concept to bring together machine learning technology and toys. The report focuses on the project outcome of the ANT which may be used as a steppingstone for developers to develop other concepts of technology and toys for young children.