Indoor Location and Tracking System Using Computer Vision

Abstract

In ubiquitous computing systems, determining the location of objects in the environment can provide basic information about the context of such objects. In closed environments an Interior Positioning System (IPS) helps to determine the location of people or robots through the use of a point-based reference system placed in the environment. Several mechanisms can be used to locate references, for example: light sensing, radio frequencies, sound, or images. In this paper, it is presented an image-based IPS that finds the location of a robot in a zone and provides functions to generate paths for the robot. The zones are identified through reference markers, which are analyzed in a server using image processing and Cloud Robotics, in order to minimize processing load in the robot. Once the marker is analyzed, a route is sent to the robot.