Abstract: This invention provides a system and method for reading and decoding ID features located on a surface of a curved, sloped and/or annular object, such as a tire moving on a conveyor. A plurality of 3D sensors are operatively connected to a vision system processor. The sensors are calibrated by calibration parameters to generate a stitched-together 3D image of a field of view in a common coordinate space. A motion conveyance (e.g. a conveyor) causes the object and the 3D sensors to move in relative motion, and the conveyance provides motion information to the vision system processor. An ID finder locates ID features within a version of the 3D image and a decoder (e.g. an OCR reader) generates data from the ID features. The ID finder can locate a trained portion of the ID and the search for variable code elements at a known orientation relative to the trained portion.

Abstract: A system and method for determining volume of a runtime object with a vision system is provided. A plurality of vision sensors are arranged so that the fields of view (FOVs) of the plurality of vision sensors collectively view features associated with volume determination of a runtime object. Each of the displacement sensors generates range images from sequences of analyzed images, each producing a single row of the range image. An ignoring volume is subtracted from the measured range image based upon one or more dividing planes as they appear in the viewing/imaging perspective of each displacement sensor. Negative subtraction results are substantially nulled. The resulting representative range images are used to calculate the volume of a portion of the object, as sectioned by the diving planes. Each volume result is summed/added to derive the overall summed volume of the runtime object.