Abstract: A method for processing the packages in a material handling environment is disclosed. The method includes receiving an image of a field of view of an image capturing device. The image comprising at least one decodable indicia having a predefined shape, the at least one decodable indicia attached to a package. The method further includes identifying one or more decodable indicia image coordinates, wherein each of the one or more decodable indicia image coordinates define a corner of the at least one decodable indicia using a 2-dimensional (2D) coordinate system. The method further includes transforming the one or more decodable indicia image coordinates to one or more decodable indicia spatial coordinates in the 3D coordinate system. Further, the method includes comparing the one or more decodable indicia spatial coordinates with one or more 3D region coordinates to determine whether the package is within a 3D region.

Abstract: A method for processing the packages in a material handling environment is disclosed. The method includes receiving an image of a field of view of an image capturing device. The image comprising at least one decodable indicia having a predefined shape, the at least one decodable indicia attached to a package. The method further includes identifying one or more decodable indicia image coordinates, wherein each of the one or more decodable indicia image coordinates define a corner of the at least one decodable indicia using a 2-dimensional (2D) coordinate system. The method further includes transforming the one or more decodable indicia image coordinates to one or more decodable indicia spatial coordinates in the 3D coordinate system. Further, the method includes comparing the one or more decodable indicia spatial coordinates with one or more 3D region coordinates to determine whether the package is within a 3D region.

Abstract: A method for processing the packages in a material handling environment is disclosed. The method includes receiving an image of a field of view of an image capturing device. The image comprising at least one decodable indicia having a predefined shape, the at least one decodable indicia attached to a package. The method further includes identifying one or more decodable indicia image coordinates, wherein each of the one or more decodable indicia image coordinates define a corner of the at least one decodable indicia using a 2-dimensional (2D) coordinate system. The method further includes transforming the one or more decodable indicia image coordinates to one or more decodable indicia spatial coordinates in the 3D coordinate system. Further, the method includes comparing the one or more decodable indicia spatial coordinates with one or more 3D region coordinates to determine whether the package is within a 3D region.

Abstract: A mobile dimensioning device, i.e. a mobile dimensioner, is described that uses a dynamic accuracy while still being compatible with the NIST standard. Even if the accuracy division is dynamic and not predetermined, a mobile dimensioning device of the present invention reports the actual dimensioning prior to measurement capture and can therefore be certified and used in commercial transactions.

Abstract: A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

Abstract: A calibration system for a dimensioner is described. The calibration system uses a reference pattern with multiple optically-perceptible elements. The optically-perceptible elements have a parameter associated with size and are separated from each other by predefined distance. The dimensioner captures an image of an object and calculates physical dimensions of the object. The dimensioner captures an image of the reference pattern. The dimensioner measures the parameter associated with size for a pair of optically-perceptible elements and measures the distance between the pair of optically-perceptible elements from the captured image. The dimensioner then calculates a ratio between measured parameter for the pair of the optically-perceptible elements and of a predefined distance between the pair of the optically-perceptible elements. The calculated ratio is compared with a actual reference ratio to determine if calibration is needed. The dimensioner is calibrated based on the calculated ratio.

Abstract: A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously alter or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.

Abstract: A method for processing the packages in a material handling environment is disclosed. The method includes receiving an image of a field of view of an image capturing device. The image comprising at least one decodable indicia having a predefined shape, the at least one decodable indicia attached to a package. The method further includes identifying one or more decodable indicia image coordinates, wherein each of the one or more decodable indicia image coordinates define a corner of the at least one decodable indicia using a 2-dimensional (2D) coordinate system. The method further includes transforming the one or more decodable indicia image coordinates to one or more decodable indicia spatial coordinates in the 3D coordinate system. Further, the method includes comparing the one or more decodable indicia spatial coordinates with one or more 3D region coordinates to determine whether the package is within a 3D region.

Abstract: A mobile dimensioning device, i.e. a mobile dimensioner, is described that uses a dynamic accuracy while still being compatible with the NIST standard. Even if the accuracy division is dynamic and not predetermined, a mobile dimensioning device of the present invention reports the actual dimensioning prior to measurement capture and can therefore be certified and used in commercial transactions.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously alter or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.

Abstract: A mobile dimensioning device, i.e. a mobile dimensioner, is described that uses a dynamic accuracy while still being compatible with the NIST standard. Even if the accuracy division is dynamic and not predetermined, a mobile dimensioning device of the present invention reports the actual dimensioning prior to measurement capture and can therefore be certified and used in commercial transactions.

Abstract: A system and method for obtaining a dimension measurement that conforms to a conformance criteria is disclosed. The dimensioning system provides either (i) feedback to confirm that the measurement complies with the criteria or (ii) information on how the measurement geometry could be adjusted in order to provide a compliant measurement in a subsequent dimension measurement.

Abstract: A system and method for obtaining a dimension measurement that conforms to a conformance criteria is disclosed. The dimensioning system provides either (i) feedback to confirm that the measurement complies with the criteria or (ii) information on how the measurement geometry could be adjusted in order to provide a compliant measurement in a subsequent dimension measurement.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously alter or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.

Abstract: A dimensioning system that analyzes a distance map for null-data pixels to provide feedback is disclosed. Null-data pixels correspond to missing range data and having too many in a distance map may lead to dimensioning errors. Providing feedback based on the number of null-data pixels helps a user understand and adapt to different dimensioning conditions, promotes accuracy, and facilitates handheld applications.

Abstract: A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

Abstract: A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

Abstract: A handheld dimensioner with a user interface configured to present a quality indicator is disclosed. The handheld dimensioner is configured to capture three-dimensional (3D) data and assess the three-dimensional-data's quality. Based on this quality, a quality indicator may be generated and presented to a user via the user interface. This process may be repeated while the user repositions the handheld dimensioner. In this way, the user may use the quality indicators generated at different positions to find an optimal position for a particular dimension measurement.

Abstract: Systems and methods for calibrating a volume dimensioner are provided. In one embodiment, a calibration system comprises a predefined reference pattern comprising a plurality of optically-perceptible elements. The optically-perceptible elements have predefined measurable parameters and are separated from each other by predefined distances. The calibration system also comprises a dimensioner configured to capture an image of an object and calculate physical dimensions of the object from at least the captured image. The dimensioner is further configured to capture one or more images of the predefined reference pattern and calculate a ratio between one of the predefined measurable parameters and one of the predefined distances. The dimensioner is further configured to be calibrated based on the calculated ratio.