OCR Training and Simulation for Person Follower Robot in an Indoor Environment

Abstract

This paper explores the usage of Optical character recognition (OCR) for a person follower behavior. The character on a person's uniform is captured using a network camera, which is interfaced on a Robotic system. In particular, this paper addresses the training of the characters to be used for the person following behaviour of a Robot, to ensure that the tracking is done properly. The graphical design is developed with LabVIEW software of National Instruments. Simulation results are furnished for the proposed training scheme. Aim: To train and simulate an OCR for person follower behavior. Study Design: The study of OCR method, exploring its use for person follower behavior is proposed and a LabVIEW based graphic design is developed.