OCR BASED AUTO NAVIGATION OF MOBILE ROBOT BY READING SIGN BOARD

Abstract

The robot is navigated using the signboard. The signboard is placed in the environment as landmark to decide the robot's next path. The signboard is designed such that the robot can perform key functions: the signboard detection, identification. Autonomous navigation of mobile robots in wide area as well as cooperative operations requires many signboards with unique identification pattern. Our colour signboard allows the robot to recognize the sign board when the signboard is visible entirely in the field of view. In OCR (Optical Character Recognition) show how text detection and recognition system, combined with several other ingredients, allows our robot to recognize named locations specified by a user. Service robots need to have maps that support their tasks. Traditional robot mapping solutions are well-suited to supporting navigation and obstacle avoidance tasks by representing occupancy information. The proposed system allows a robot to discover path automatically by detecting and reading textual information in signs located (Sign board) by using OCR. In this we show that the text-extraction component developed is a valuable on mobile robots.