The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 08, 2010
Filed:
Oct. 24, 2007
C. Harry Knowles, Hanover, NH (US);
Xiaoxun Zhu, Marlton, NJ (US);
Timothy Good, Clementon, NJ (US);
Tao Xian, Bensalem, PA (US);
Anatoly Kotlarsky, Churchville, PA (US);
Michael Veksland, Marlton, NJ (US);
Mark Hernandez, Bridgeton, NJ (US);
John Gardner, Mullica Hill, NJ (US);
Steven Essinger, Philadelphia, PA (US);
Patrick Giordano, Blackwood, NJ (US);
Sean Kearney, Hamilton, NJ (US);
Mark Schmidt, Williamstown, NJ (US);
John A. Furlong, Woodbury, NJ (US);
Nicholas Ciarlante, Woolwich Township, NJ (US);
Yong Liu, Suzhou, CN;
Jie Ren, Suzhou, CN;
Xi Tao, Suzhou, CN;
Jibin Liu, Suzhou, CN;
Ming Zhuo, Suzhou, CN;
Duane Ellis, Medford, NJ (US);
C. Harry Knowles, Hanover, NH (US);
Xiaoxun Zhu, Marlton, NJ (US);
Timothy Good, Clementon, NJ (US);
Tao Xian, Bensalem, PA (US);
Anatoly Kotlarsky, Churchville, PA (US);
Michael Veksland, Marlton, NJ (US);
Mark Hernandez, Bridgeton, NJ (US);
John Gardner, Mullica Hill, NJ (US);
Steven Essinger, Philadelphia, PA (US);
Patrick Giordano, Blackwood, NJ (US);
Sean Kearney, Hamilton, NJ (US);
Mark Schmidt, Williamstown, NJ (US);
John A. Furlong, Woodbury, NJ (US);
Nicholas Ciarlante, Woolwich Township, NJ (US);
Yong Liu, Suzhou, CN;
Jie Ren, Suzhou, CN;
Xi Tao, Suzhou, CN;
JiBin Liu, Suzhou, CN;
Ming Zhuo, Suzhou, CN;
Duane Ellis, Medford, NJ (US);
Metrologic Instruments, Inc., Blackwood, NJ (US);
Abstract
A digital image capturing and processing system for illuminating objects using automatic object detection and spectral-mixing illumination technique. The system comprises an area-type illumination and imaging module for projecting a coextensive area-type illumination and imaging field (i.e. zone) into a 3D imaging volume during object illumination and imaging operations. The area-type illumination and imaging module includes a spectral-mixing based illumination subsystem for producing a first field of visible illumination from an array of visible LEDs, and producing a second field of invisible illumination from an array of infrared (IR) LEDs, wherein the first and second fields of illumination spatially overlap and intermix with each other and produce a composite illumination field that is at least substantially coextensive with the FOV of the image sensing array. An automatic object detection subsystem automatically detects an object moving through the 3D imaging volume, while an illumination control subsystem controls the relative power ratio (VIS/IR) of visible illumination and invisible illumination during system operations so as to achieve sufficient image contrast in captured digital images to ensure satisfactory image processing.