Search Patents
  • Carbon Nanotube Hybrid Material Fabric, Composite Fabric, and Personal Protective Apparel and Equipment
    Publication number: 20200270774
    Abstract: Carbon nanotube (CNT) fiber and sheets formed by a specialized gas assembly pyrolytic reactor method that permits gas phase integration of nano and micro particles (NMPs) are processed into yarn and fabric used in the manufacture of personal protective clothing and equipment that can be tailored via selection of NMPs for a wide variety of functionality depending on target application. The CNT-NMP hybrid fabrics may be designed to exhibit enhanced electrical and thermal conductivity, moisture wicking, air filtering, and environmental sensing properties.
    Type: Application
    Filed: July 10, 2018
    Publication date: August 27, 2020
    Inventors: Mark J. Schulz, Sathya Kanakaraj, David Mast, Vesselin Shanov, Devika Chauhan, Guangfeng Hou, Vianessa Ng, Chenhao Xu, Rui Daniel Chen, Ashley Kubley, Xiaoda Hou, Richard Kleismit
  • Method of and apparatus for processing captured digital images of objects within a semi-automatic hand-supportable imaging-based bar code symbol reader so as to read 1D and/or 2D bar code symbols graphically represented therein
    Publication number: 20050116044
    Abstract: Method of and apparatus for processing captured images within a semi-automatic hand-supportable imaging-based bar code symbol reader in order to read 1D and/or 2D bar code symbols graphically represented therein. The semi-automatic hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem; an input/output subsystem; a manually-activatable trigger switch; and a system control subsystem integrated with each of the above-described subsystems. The bar code symbol reader embodies advanced image processing methods for reading 1D and/or 2D bar code symbols graphically represented in captured digital images.
    Type: Application
    Filed: July 27, 2004
    Publication date: June 2, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • Digital image capture and processing system having automatic illumination measurement and control capabilities realized using a photodetector operating independently of the image sensing array, and an image-processing based illumination metering program for automatically adjusting the illumination duration of the system during object illumination and imaging operations
    Patent number: 7611064
    Abstract: A digital-imaging based code symbol reading system comprising an image sensing array with a field of view (FOV), an illumination subsystem with an LED illumination array, an automatic illumination measurement subsystem, an illumination control subsystem, and programmed imager processor supporting an image-processing based illumination metering program. The automatic illumination measurement subsystem, employing a photodetector operating independently from the image sensing array, is used to automatically measure the illumination level at a particular region of the FOV and determine the illumination duration necessary to achieve a desired spatial intensity in the detected digital image.
    Type: Grant
    Filed: November 30, 2006
    Date of Patent: November 3, 2009
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky
  • Automatic hand-supportable image-based bar code symbol reader having image-processing based bar code reading subsystem employing simple decode image processing operations applied in an outwardly-directed manner referenced from the center of a captured narrow-area digital image of an object bearing a 1D bar code symbol
    Publication number: 20050103849
    Abstract: A hand-supportable automatic digital imaging-based bar code symbol reading device comprises: an automatic object presence detection subsystem; an area-type image formation and detection subsystem having a narrow-area image-capture mode of operation; a LED-based illumination subsystem having narrow-area illumination mode of operation; an image capturing and buffering subsystem; and an image-processing bar code symbol reading subsystem. The automatic object presence detection subsystem automatically detects an object, and the LED-based illumination subsystem automatically illuminates the detected object in a field of narrow-area narrow-band illumination, while the area-type image formation and detection subsystem captures a narrow-area image thereof.
    Type: Application
    Filed: July 27, 2004
    Publication date: May 19, 2005
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • Hand-supportable digital imaging-based bar code reading system wherein, during each imaging cycle, a single frame of pixel data is automatically detected by a CMOS area-type image sensing array when substantially all rows of pixels therein are in a state of integration and have a common integration time, and then pixel data is transmitted from said CMOS area-type image sensing array into a FIFO buffer, and then mapped into memory for subsequent image processing
    Publication number: 20050103861
    Abstract: A hand-supportable digital imaging-based bar code symbol reading device comprises: a image formation and detection subsystem; a LED-based illumination subsystem; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. During each image capture cycle, a single frame of pixel data is automatically detected by the CMOS area-type image sensing array when substantially all rows of pixels therein are in a state of integration and have a common integration time, and then the single frame of pixel data is transmitted from the CMOS area-type image sensing array into a FIFO buffer, and then mapped into memory, for subsequent image processing.
    Type: Application
    Filed: July 30, 2004
    Publication date: May 19, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • Hand-supportable digital imaging-based bar code symbol reading system having a subsystem for automatically processing a captured digital image along a set of parallel virtual scan lines spaced-apart by a number of pixel-offset distances proportional to the maximum pixel height of the region of interest (ROI) in the captured digital image containing a bar code symbol
    Publication number: 20050103848
    Abstract: A hand-supportable digital imaging-based bar code symbol reading system comprises: an automatic object presence detection subsystem; an image formation and detection subsystem having an area-type image sensing array with a field of view (FOV); a LED-based illumination subsystem having an LED illumination array for producing a field of narrow-band illumination within the FOV; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The image-processing bar code symbol reading subsystem has a mode of image processing, wherein a captured digital image is automatically processed along a set of parallel virtual scan lines spaced-apart by a number of pixel-offset distances proportional to the maximum pixel height of the region of interest (ROI) in the captured digital image containing a bar code symbol.
    Type: Application
    Filed: July 28, 2004
    Publication date: May 19, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • METHOD OF AND APPARATUS FOR PROCESSING CAPTURED DIGITAL IMAGES OF OBJECTS WITHIN A SEMI-AUTOMATIC HAND-SUPPORTABLE IMAGING-BASED BAR CODE SYMBOL READER SO AS TO READ 1D AND/OR 2D BAR CODE SYMBOLS GRAPHICALLY REPRESENTED THEREIN
    Patent number: 7086595
    Abstract: Method of and apparatus for processing captured images within a semi-automatic hand-supportable imaging-based bar code symbol reader in order to read 1D and/or 2D bar code symbols graphically represented therein. The semi-automatic hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem; an input/output subsystem; a manually-activatable trigger switch; and a system control subsystem integrated with each of the above-described subsystems. The bar code symbol reader embodies advanced image processing methods for reading 1D and/or 2D bar code symbols graphically represented in captured digital images.
    Type: Grant
    Filed: July 27, 2004
    Date of Patent: August 8, 2006
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable imaging-based auto-discriminating 1D/2D bar code symbol reader employing a multi-mode image processing bar code symbol reading subsystem having a plurality of modes of operation which are dynamically reconfigurable in response to real-time image analysis
    Patent number: 7360706
    Abstract: A hand-supportable digital imaging-based bar code symbol reading device comprises: an IR-based object presence and range detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem; an input/output subsystem; a manually-activatable trigger switch; and a system control subsystem integrated with each of the above-described subsystems. The digital imaging-based bar code reading device employs a multi-mode bar code symbol reading image processor that is dynamically reconfigurable in response to real-time image analysis carried out upon captured narrow and wide area images.
    Type: Grant
    Filed: July 19, 2004
    Date of Patent: April 22, 2008
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable digital imaging-based bar code symbol reading system employing a method of intelligently illuminating an object so as to generate a digital image thereof which is substantially free of noise caused by specular-type reflection of illumination off said object during illumination and imaging operations
    Publication number: 20050103864
    Abstract: A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide-area image-capture modes of operation; a multi-mode LED-based illumination subsystem having independently controllable LED illumination arrays; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The hand-supportable imaging-based bar code reader employs a method of intelligently illuminating objects during image capture, wherein the LED illumination arrays are independently controlled during particular moments of object illumination to generate digital images of objects which, through digital image analysis, are determined to be substantially free of noise (i.e.
    Type: Application
    Filed: July 29, 2004
    Publication date: May 19, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • HAND-SUPPORTABLE SEMI-AUTOMATIC IMAGING-BASED BAR CODE READING SYSTEM WHEREIN AN LED-BASED ILLUMINATION SUBSYSTEM AUTOMATICALLY ILLUMINATES A DETECTED TARGET OBJECT IN A NARROW-AREA FIELD OF ILLUMINATION, AND ILLUMINATES THE DETECTED TARGET OBJECT IN A WIDE-AREA FIELD OF ILLUMINATION UPON MANUAL ACTIVATION OF A TRIGGER SWITCH
    Publication number: 20050103855
    Abstract: A hand-supportable semi-automatic Digital Imaging-Based Bar Code Symbol Reading Device comprises: a Multi-Mode Area-type Image Formation and Detection (IFD) Subsystem having narrow-area and wide area image capture modes of operation; a Multi-Mode LED-based Illumination Subsystem having narrow-area and wide area illumination modes of operation; an Image Capturing and Buffering Subsystem; a Multi-Mode Image-Processing Bar Code Symbol Reading Subsystem; a manually-activatable trigger switch.
    Type: Application
    Filed: July 16, 2004
    Publication date: May 19, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Sqatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • Hand-supportable imaging-based bar code symbol reader capable of exposing an automatically detected object to a field of narrow-band LED-based illumination only when substantially all rows of pixels in a CMOS image sensing array are in a state of integration
    Patent number: 7267282
    Abstract: A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; an image formation and detection subsystem employing a CMOS area-type image detection array; an LED-based illumination subsystem employing an LED illumination array to generate a field of narrow-band LED-based illumination within the FOV; an automatic light exposure measurement and illumination control subsystem employing LED illumination driver circuitry; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems.
    Type: Grant
    Filed: July 28, 2004
    Date of Patent: September 11, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable imaging-based bar code symbol reader employing a multi-mode illumination subsystem enabling narrow-area illumination for aiming at a target object and illuminating aligned 1D bar code symbols during the narrow-area image capture mode, and wide-area illumination for illuminating randomly-oriented 1D and 2D bar code symbols during the wide-area image capture mode
    Publication number: 20050103846
    Abstract: A hand-supportable Digital Imaging-Based Bar Code Symbol Reading Device comprises: an IR-based Object Presence and Range Detection Subsystem; a Multi-Mode Area-type Image Formation and Detection Subsystem having narrow-area and wide area image capture modes of operation; a Multi-Mode LED-based Illumination Subsystem having narrow-area and wide area illumination modes of operation; an Automatic Light Exposure Measurement and Illumination Control Subsystem; an Image Capturing and Buffering Subsystem; a Multi-Mode Image-Processing Bar Code Symbol Reading Subsystem; an Input/Output Subsystem; a manually-activatable trigger switch; a System Mode Configuration Parameter Table; and a System Control Subsystem integrated with each of the above-described subsystems. The bar code reading device can be configured and operated in numerous programmable modes of system operation to automatically read 1D and 2D bar code symbologies in a high-speed manner using advanced modes of image processing on captured images.
    Type: Application
    Filed: July 16, 2004
    Publication date: May 19, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
  • Carbon nanotube hybrid material fabric, composite fabric, and personal protective apparel and equipment
    Patent number: 11542635
    Abstract: Carbon nanotube (CNT) fiber and sheets formed by a specialized gas assembly pyrolytic reactor method that permits gas phase integration of nano and micro particles (NMPs) are processed into yarn and fabric used in the manufacture of personal protective clothing and equipment that can be tailored via selection of NMPs for a wide variety of functionality depending on target application. The CNT-NMP hybrid fabrics may be designed to exhibit enhanced electrical and thermal conductivity, moisture wicking, air filtering, and environmental sensing properties.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: January 3, 2023
    Assignee: UNIVERSITY OF CINCINNATI
    Inventors: Mark J. Schulz, Sathya Kanakaraj, David Mast, Vesselin Shanov, Devika Chauhan, Guangfeng Hou, Vianessa Ng, Chenhao Xu, Rui Daniel Chen, Ashley Kubley, Xiaoda Hou, Richard Kleismit, Zhangzhang Yin
  • Hand-supported imaging-based bar code symbol reader employing a multi-mode image-processing based bar code reading subsystem with modular image-processing architecture
    Patent number: 7237722
    Abstract: A hand-supportable digital imaging-based bar code symbol reading device comprises: an IR-based object presence and range detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide area image capture modes of operation; a multi-mode LED-based illumination subsystem having narrow-area and wide area illumination modes of operation; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; a multi-mode image-processing bar code symbol reading subsystem; an input/output subsystem; a manually-activatable trigger switch; and a system control subsystem integrated with each of the above-described subsystems. The multi-mode image-processing based bar code reading subsystem has a modular image-processing architecture constructed from four major image processing modules, namely: a tracker module, a finder module, a marker module, and a decoder module.
    Type: Grant
    Filed: July 22, 2004
    Date of Patent: July 3, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable digital imaging-based bar code symbol reading system employing a method of intelligently illuminating an object so as to generate a digital image thereof which is substantially free of noise caused by specular-type reflection
    Patent number: 7281661
    Abstract: A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide-area image-capture modes of operation; a multi-mode LED-based illumination subsystem having independently controllable LED illumination arrays; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The hand-supportable imaging-based bar code reader employs a method of intelligently illuminating objects during image capture, wherein the LED illumination arrays are independently controlled during particular moments of object illumination to generate digital images of objects which, through digital image analysis, are determined to be substantially free of noise (i.e.
    Type: Grant
    Filed: July 29, 2004
    Date of Patent: October 16, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-suportable imaging-based bar code symbol reader employing an automatic light exposure measurement and illumination control subsystem for measuring illumination exposure on CMOS image sensing array and controlling LED illumination array driver circuitry
    Patent number: 7240844
    Abstract: A hand-supportable digital imaging-based bar code symbol reading system comprises: an automatic object presence detection subsystem; an image formation and detection subsystem employing a CMOS area-type image detection array; an LED-based illumination subsystem employing a LED illumination array for generating a field of narrow-band LED illumination; an automatic light exposure measurement and illumination control subsystem employing LED illumination driver circuitry; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; a narrow-band transmission-type optical filter subsystem; and a system control subsystem for controlling the subsystems.
    Type: Grant
    Filed: July 28, 2004
    Date of Patent: July 10, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable digital imaging-based bar code reading system wherein, during each imaging cycle, a single frame of pixel data is automatically detected by a CMOS area-type image sensing array when substantially all rows of pixels therein are in a state of integration and have a common integration time, and then pixel data is transmitted from said CMOS area-type image sensing array into a FIFO buffer, and then mapped into memory for subsequent image processing
    Patent number: 7255279
    Abstract: A hand-supportable digital imaging-based bar code symbol reading device comprises: image formation and detection subsystem; a LED-based illumination subsystem; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. During each image capture cycle, a single frame of pixel data is automatically detected by the CMOS area-type image sensing array when substantially all rows of pixels therein are in a state of integration and have a common integration time, and then the single frame of pixel data is transmitted from the CMOS area-type image sensing array into a FIFO buffer, and then mapped into memory, for subsequent image processing.
    Type: Grant
    Filed: July 30, 2004
    Date of Patent: August 14, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Automatic hand-supportable image-based bar code symbol reader having image-processing based bar code reading subsystem employing simple decode image processing operations applied in an outwardly-directed manner referenced from the center of a captured narrow-area digital image of an object bearing a 1D bar code symbol
    Patent number: 7428998
    Abstract: A hand-supportable automatic digital imaging-based bar code symbol reading device comprises: an automatic object presence detection subsystem; an area-type image formation and detection subsystem having a narrow-area image-capture mode of operation; a LED-based illumination subsystem having narrow-area illumination mode of operation; an image capturing and buffering subsystem; and an image-processing bar code symbol reading subsystem. The automatic object presence detection subsystem automatically detects an object, and the LED-based illumination subsystem automatically illuminates the detected object in a field of narrow-area narrow-band illumination, while the area-type image formation and detection subsystem captures a narrow-area image thereof.
    Type: Grant
    Filed: July 27, 2004
    Date of Patent: September 30, 2008
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Hand-supportable semi-automatic imaging-based bar code reading system wherein an led-based illumination subsystem automatically illuminates a detected target object in a narrow-area field of illumination, and illuminates the detected target object in a wide-area field of illumination upon manual activation of a trigger switch
    Patent number: 7188770
    Abstract: A hand-supportable Digital Imaging-Based Bar Code Symbol Reading Device comprises: an IR-based Object Presence and Range Detection Subsystem; A Multi-Mode Area-type Image Formation and Detection Subsystem having narrow-area and wide area image capture modes of operation; a Multi-Mode LED-based Illumination Subsystem having narrow-area and wide area illumination modes of operation; an Automatic Light Exposure Measurement and Illumination Control Subsystem; an Image Capturing and Buffering Subsystem; a Multi-Mode Image-Processing Bar Code Symbol Reading Subsystem; an Input/Output Subsystem; an manuallyactivatable trigger switch; a System Mode Configuration Parameter Table; and a System Control Subsystem integrated with each of the above-described subsystems. The bar code reading device can be configured and operated in numerous programmable modes of system operation to automatically read 1D and 2D bar code symbologies in a high-speed manner using advanced modes of image processing on captured images.
    Type: Grant
    Filed: July 16, 2004
    Date of Patent: March 13, 2007
    Assignee: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Man Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Harry Knowles
  • Digital imaging-based bar code reading system wherein the time duration that an CMOS image sensing array is exposed to narrow-band illumination from an LED-based illumination array is managed by controlling the time that said LED-based illumination array generates narrow-band illumination in response to control activation signals generated by the CMOS image sensing array and an automatic object presence detection subsystem aboard said system
    Publication number: 20050116040
    Abstract: A hand-supportable digital imaging-based bar code symbol reading system comprises: an automatic object presence detection subsystem; an image formation and detection subsystem employing a CMOS area-type image detection array; an LED-based illumination subsystem employing a LED illumination array for generating a field of narrow-band LED illumination; an automatic light exposure measurement and illumination control subsystem employing LED illumination driver circuitry; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; a narrow-band transmission-type optical filter subsystem; and a system control subsystem for controlling the subsystems.
    Type: Application
    Filed: July 28, 2004
    Publication date: June 2, 2005
    Applicant: Metrologic Instruments, Inc.
    Inventors: Xiaoxun Zhu, Yong Liu, Ka Au, Rui Hou, Hongpeng Yu, Xi Tao, Liang Liu, Wenhua Zhang, Anatoly Kotlarsky, Sankar Ghosh, Michael Schnee, Pasqual Spatafore, Thomas Amundsen, Sung Byun, Mark Schmidt, Garrett Russell, John Bonanno, C. Knowles
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