Patents by Inventor Ronald A. Petrozzo

Ronald A. Petrozzo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Imaging module and reader for, and method of, reading targets by image capture over a range of working distances with multi-functional aiming light pattern
    Patent number: 10929623
    Abstract: Near and far imagers image close-in and far-out targets over relatively wider and relatively narrower imaging fields of view, respectively. An aiming assembly directs to a target a visible aiming light pattern having an aiming light spot and a pair of collinear aiming light lines. The aiming light spot is substantially centered between the aiming light lines. A controller determines a distance to the target based on a position of the aiming light spot in the imaging field of view of a default one of the imagers, selects at least one of the imagers based on the determined distance, and enables both the close-in and the far-out targets to be positioned substantially entirely within the respective imaging field of view of the selected imager.
    Type: Grant
    Filed: April 5, 2016
    Date of Patent: February 23, 2021
    Assignee: Symbol Technologies, LLC
    Inventors: Carl D. Wittenberg, Chinh Tan, Ronald A. Petrozzo, Paul F. Denimarck, Jr.
  • IMAGING MODULE AND READER FOR, AND METHOD OF, READING TARGETS BY IMAGE CAPTURE OVER A RANGE OF WORKING DISTANCES WITH MULTI-FUNCTIONAL AIMING LIGHT PATTERN
    Publication number: 20170289451
    Abstract: Near and far imagers image close-in and far-out targets over relatively wider and relatively narrower imaging fields of view, respectively. An aiming assembly directs to a target a visible aiming light pattern having an aiming light spot and a pair of collinear aiming light lines. The aiming light spot is substantially centered between the aiming light lines. A controller determines a distance to the target based on a position of the aiming light spot in the imaging field of view of a default one of the imagers, selects at least one of the imagers based on the determined distance, and enables both the close-in and the far-out targets to be positioned substantially entirely within the respective imaging field of view of the selected imager.
    Type: Application
    Filed: April 5, 2016
    Publication date: October 5, 2017
    Inventors: CARL D. WITTENBERG, CHINH TAN, RONALD A. PETROZZO, PAUL F. DENIMARCK, JR.
  • Aiming pattern shape as distance sensor for barcode scanner
    Patent number: 9202094
    Abstract: An imaging scanner includes an aiming light source configured to emit visible light through both the shape defining element and the aiming lens arrangement to generate an aiming pattern on a target object. The shape of the aiming pattern changes with the distance between the target object and the imaging scanner. For determining the distance, the shape of the aiming pattern in a pixel data is compared with the expected shape of aiming patterns at multiple distances.
    Type: Grant
    Filed: May 20, 2014
    Date of Patent: December 1, 2015
    Assignee: Symbol technologies, LLC
    Inventors: Caihua Chen, Vladimir Gurevich, Ronald A Petrozzo, Miguel O Rodriguez Ortiz, David T Shi
  • AIMING PATTERN SHAPE AS DISTANCE SENSOR FOR BARCODE SCANNER
    Publication number: 20150339506
    Abstract: An imaging scanner includes an aiming light source configured to emit visible light through both the shape defining element and the aiming lens arrangement to generate an aiming pattern on a target object. The shape of the aiming pattern changes with the distance between the target object and the imaging scanner. For determining the distance, the shape of the aiming pattern in a pixel data is compared with the expected shape of aiming patterns at multiple distances.
    Type: Application
    Filed: May 20, 2014
    Publication date: November 26, 2015
    Applicant: SYMBOL TECHNOLOGIES, INC.
    Inventors: Caihua Chen, Vladimir Gurevich, Ronald A. Petrozzo, Miguel O. Rodriguez Ortiz, David T. Shi