Follower Robot in an Integrated Ambient Intelligence System
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The purpose of this project is to create a digital supervision system by using a combination of motion detection, face recognition with sound-based interaction, people counter, and follower robot. It can be customized for homes and offices. The system can be used as a means of access control and estimating the number of people in the room, thereby proving very useful in real- life situations to manage security. The system responds spontaneously and accurately, which is attributed to the use of simple method calls, which increases system efficiency. There are several sensors and hardware components used, including webcams, vision-based sensors, motion sensors. The robotic system proposed is implemented using an Arduino UNO board and has eight working sensors that are used for making the robot follow unknown people and return to its home position. The experiments have proven accuracy in face recognition, people counter and efficient tracking by the robot to follow a person by avoiding the obstacles.