A computer vision system for knowledge-based 3D scene analysis using radio-frequency tags

Visual tags, of which barcodes represent a successful effort for standardization, have often been used to deepen the level of automation in handling industrial objects. In the past few years, a new type of tags has been the object of intensive developments: radio-frequency (RF) Tags. We present the architecture of a machine vision system that uses RF tag identification (RFID). RFID enables detecting the presence of an object, which polyhedral model and properties are remotely retrieved from a knowledge network database. This model is used for 3D scene analysis by projective geometry. Our system not only facilitates the problem of object identification and registration to a model, but also allows new tag-based applications to be built around the concept of ubiquitous objects.