Tunnel-based object identification and dimensioning system

• US 7,600,689 B2
• Filed: 06/26/2007
• Issued: 10/13/2009
• Est. Priority Date: 06/07/1999
• Status: Expired due to Fees

• Current Assignee: Metrologic Instruments Incorporated (Honeywell International Inc.)
• Original Assignee: Metrologic Instruments Incorporated (Honeywell International Inc.)
• Inventors: Kim, Steve Y., Zhu, Xiaoxun, Good, Timothy A., Knowles, C. Harry, Schmidt, Mark S., Au, Ka Man, Wilz, David M. Sr., Ghosh, Sankar, Colavito, Stephen J., Amundsen, Thomas, Naylor, Charles A., Jankevics, Andrew, Schnee, Michael D., Tsikos, Constantine J., Giordano, Patrick A., Yorsz, Jeffery, Wirth, Allan, Dobbs, Russell Joseph, Svedas, William
• Primary Examiner(s): Le; Thien M
• Application Number:
  US11/821,940
• Publication Number:
  US 20080156882A1
• Time in Patent Office: 840 Days
• Field of Search: 23546201-46247, 235/472.01, 235/472.02, 235/472.03
• US Class Current: 235/462.43
• CPC Class Codes: B82Y 15/00 Nanotechnology for interacting, sensing or actuating, e.g. quantum dots as markers in protein assays or molecular motors
• CPC Class Codes: G02B 19/0014 at least one surface having optical power
• CPC Class Codes: G02B 19/0028 refractive and reflective surfaces, e.g. non-imaging catadioptric systems
• CPC Class Codes: G02B 19/0057 in the form of a laser diode array, e.g. laser diode bar semiconductor laser arrays with beam combining arrangement H01S5/4012
• CPC Class Codes: G02B 19/0066 in the form of an LED array
• CPC Class Codes: G02B 19/009 for use with infrared radiation
• CPC Class Codes: G02B 26/10 Scanning systems
• CPC Class Codes: G02B 26/105 with one or more pivoting mirrors or galvano-mirrors G02B26/101 takes precedence
• CPC Class Codes: G02B 27/0961 Lens arrays lens arrays per se G02B3/0006
• CPC Class Codes: G02B 27/0966 Cylindrical lenses cylindrical lenses per se G02B3/06
• CPC Class Codes: G02B 27/48 Laser speckle optics
• CPC Class Codes: G06K 7/10554 Moving beam scanning
• CPC Class Codes: G06K 7/10683 Arrangement of fixed elements
• CPC Class Codes: G06K 7/10722 Photodetector array or CCD scanning
• CPC Class Codes: G06K 7/10732 Light sources
• CPC Class Codes: G06K 7/10811 Focalisation
• CPC Class Codes: G06K 7/10861 sensing of data fields affixed to objects or articles, e.g. coded labels postal sorting B07C3/14, conveying articles B65G47/48
• CPC Class Codes: H01S 5/02325 Mechanically integrated components on mount members or optical micro-benches
• CPC Class Codes: H01S 5/4025 Array arrangements, e.g. constituted by discrete laser diodes or laser bar H01S5/42 takes precedence

Abstract

Methods of and systems for illuminating objects using planar laser illumination beams having substantially-planar spatial distribution characteristics that extend through the field of view (FOV) of image formation and detection modules employed in such systems. Each planar laser illumination beam is produced from a planar laser illumination beam array (PLIA) comprising an plurality of planar laser illumination modules (PLIMs). Each PLIM comprises a visible laser diode (VLD, a focusing lens, and a cylindrical optical element arranged therewith. The individual planar laser illumination beam components produced from each PLIM are optically combined to produce a composite substantially planar laser illumination beam having substantially uniform power density characteristics over the entire spatial extend thereof and thus the working range of the system. Preferably, each planar laser illumination beam component is focused so that the minimum beam width thereof occurs at a point or plane which is the farthest or maximum object distance at which the system is designed to acquire images, thereby compensating for decreases in the power density of the incident planar laser illumination beam due to the fact that the width of the planar laser illumination beam increases in length for increasing object distances away from the imaging optics. Advanced high-resolution wavefront control methods and devices are disclosed for use with the PLIIM-based systems in order to reduce the power of speckle-noise patterns observed at the image detections thereof. By virtue of the present invention, it is now possible to use both VLDs and high-speed CCD-type image detectors in conveyor, hand-held and hold-under type imaging applications alike, enjoying the advantages and benefits that each such technology has to offer, while avoiding the shortcomings and drawbacks hitherto associated therewith.

Claims

1. A tunnel-based object identification and dimensioning system comprising:

a tunnel-like support structure surrounding a conveyor belt structure transporting objects therealong;

a plurality of camera-based object identification subsystems, each said camera-based object identification subsystem including a camera subsystem and being supported about a conveyor belt structure by said tunnel-like support structure, for automatically identifying objects on said conveyor belt structure by producing digital linear images of said objects and reading code symbols on said objects, and generating object identification data elements representing identified objects;

at least one object dimensioning subsystem, for capturing object dimension data elements computed with respect to a central coordinate frame of reference, and distributing said object dimension data elements to said camera-based object identification subsystems over a data communication network; and

wherein said object dimension data elements are transmitted to each said camera-based object identification subsystem, converted into object height, width, and length coordinates, and used to generate camera control signals for driving the camera subsystem within each said camera-based object identification subsystem.

2. The tunnel-based object identification and dimensioning system of claim 1, wherein said object identification data elements are time-stamped, queued, and processed to assist in linking corresponding object dimension data elements.

3. The tunnel-based object identification and dimensioning system of claim 1, wherein each said camera-based object identification subsystem further includes automatic zoom and focus imaging optics, and a control computer for driving said automatic zoom and focus imaging optics in response to said camera control signals.