Hand Held Products, Inc.

Jingquan Li

Timothy P Meier

Brian L Jovanovski

Stephen Patrick Deloge

Robert M Hussey

Justin Hnatow

Scott McCloskey

Ryan Andrew Lloyd

William H Havens

Ynjiun P Wang

Kevin John Ahearn

Michael Allan Ehrhart

Thomas J Koziol

Jianhua Li

Sven M A Powilleit

James Montoro

Scott Mccloskey

Kevin O Ahearn

Sven MA Powilleit

Embodiments of the present invention are directed to document processing, and more particularly to systems and methods that can utilize relative positions between the content of the document and a decodable indicia affixed to the document. In one embodiment, indicia reading terminals are provided that include an imaging module for capturing a frame of image data of a document. The document can include one or more decodable indicia such as a form barcode and various content fields, which delineate particular content of the document. The form barcode can include information respecting the form design and form design data. This information can be used to process the content of the document such as by providing coordinates or similar location and positioning metrics for use in processing the content of the document. In one example, the frame of image data is analyzed to identify the form barcode, from which the relative location of the content fields can be discerned without extensive processing of the frame of image data.

System and method for document processing

Methods to improve the accuracy of non-contact measurements of an object's dimensions using a dimensioning system are disclosed. The methods include a method for creating a mathematical model (i.e., error model) based on an observed correlation between errors in an estimated dimension and the characteristics of the measurement used to obtain the estimated dimension. These error models may be created for various dimensions and stored for future use. The methods also include a method for using the stored error models to reduce the error associated with a particular dimensioning-system measurement. Here an error model is used to create an estimated error. The estimated error is then removed from the estimate of the dimension to produce a final estimate of the dimension that is more accurate.

Methods for improving the accuracy of dimensioning-system measurements

Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Image-stitching for dimensioning

Embodiments of an image reader and/or methods of operating an image reader can capture an image, identify a bar code or IBI form within the captured image, and, store or display the captured image responsive to an orientation of the bar code.

Imaging terminal, imaging sensor to determine document orientation based on bar code orientation and methods for operating the same

A dimensioning system including a computing device running an alignment software program is disclosed. The alignment software uses range information from a range sensor in order to generate alignment messages. The alignment messages may help a user define a frame of reference and align the dimensioning system's range sensor for improved dimensioning performance.

Dimensioning system with guided alignment

A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Method of error correction for 3D imaging device

Embodiments of the present invention comprise an indicia reading terminal including operatively configured to interact with a storage module to store data, including location data, of a decodable indicia found in a captured document image. In one embodiment, the indicia reading terminal can be provided with one or more pre-stored information about the decodable indicia and/or the document. In another embodiment the indicia reading terminal can be provided with instructions and similarly operatively configured components that can identify information about the decodable indicia, store such information in a table, and utilize the tabulated data to process captured image data of subsequent documents.

Document decoding system and method for improved decoding performance of indicia reading terminal

A current problem with 3D scanners using structured light patterns is choosing a single light pattern to accommodate all possible object/range conditions. Objects far from the 3D scanner often require different patterns than objects that located close to the 3D scanner. In addition, large objects often require different patterns than small objects. To automatically sense and adapt to a wide variety of size/range conditions, the present invention embraces a 3D scanner for dimensioning that has two projectors for projecting two different light patterns. Based on the scanning requirements for a particular object, one of the two projected patterns may be used to obtain information regarding the shape of an object. In one possible embodiment, this shape information is used to obtain the object's dimensions.

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Auburn, NY, United States of America

Jingquan Li