Abstract: Various embodiments described herein relate to techniques for computing dimensions of an object using multiple range images. In this aspect, the multiple range images are captured from selective locations and satisfy a pre-defined criterion. In accordance with various embodiments, at least a pair of 3D points are identified from the multiple range images, which correspond to at least one geometric feature on a surface of the object. In this regard, a correspondence score is estimated for the identified at least one pair of 3D points. The correspondence score is then utilized for registering the at least one pair of 3D points. Based in part on the registration of the 3D points and 3D point clouds retrieved from the captured images, the dimensions of the object are computed.

Abstract: A terminal for measuring at least one dimension of an object includes a range camera, a visible camera, and a display that are fixed in position and orientation relative to each other. The range camera is configured to produce a range image of an area in which the object is located. The visible camera is configured to produce a visible image of an area in which the object is located. The display is configured to present information associated with the range camera's field of view and the visible camera's field of view.

Abstract: 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.

Abstract: 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.

Abstract: Various embodiments described herein relate to techniques for computing dimensions of a non-cuboid shaped object using angular estimates associated with 3D points captured in an image of a scene including the object. In this regard, a dimensioning system may capture at least one image of the scene including the object and identify one or more planes on the object from the captured at least one image. Further, a surface plane from amongst the one or more identified planes that contains a maximum number of three-dimensional (3D) surface points on the object is determined. Upon determination of the surface plane, angular estimation is determined representing angular values between a normal to the surface plane and a normal to a reference plane. Accordingly, the angular estimation is further used along with an estimated height of the object for computing the dimensions of the object.

Abstract: 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.

Abstract: Various embodiments described herein relate to techniques for computing dimensions of a non-cuboid shaped object using angular estimates associated with 3D points captured in an image of a scene including the object. In this regard, a dimensioning system may capture at least one image of the scene including the object and identify one or more planes on the object from the captured at least one image. Further, a surface plane from amongst the one or more identified planes that contains a maximum number of three-dimensional (3D) surface points on the object is determined. Upon determination of the surface plane, angular estimation is determined representing angular values between a normal to the surface plane and a normal to a reference plane. Accordingly, the angular estimation is further used along with an estimated height of the object for computing the dimensions of the object.

Abstract: Various embodiments described herein relate to techniques for computing dimensions of an object using multiple range images. In this aspect, the multiple range images are captured from selective locations and satisfy a pre-defined criterion. In accordance with various embodiments, at least a pair of 3D points are identified from the multiple range images, which correspond to at least one geometric feature on a surface of the object. In this regard, a correspondence score is estimated for the identified at least one pair of 3D points. The correspondence score is then utilized for registering the at least one pair of 3D points. Based in part on the registration of the 3D points and 3D point clouds retrieved from the captured images, the dimensions of the object are computed.

Abstract: Obtaining a good image is important for reading indicia. Often, however, objects are not well aligned with an indicia reader's digital imager. This misalignment may lead to images in which an indicium may appear distorted due to perspective. This perspective distortion makes indicia reading difficult. In general, perspective distortion of an imaged object may be corrected using knowledge of the true size, shape, and/or orientation of the physical object. The present invention embraces the use of a dimensioning system to obtain the 3D information necessary to provide this knowledge. Then, using this knowledge, to transform a distorted image of an indicium into a corrected image of the indicium without distortion. This corrected image may then be processed to read the undistorted indicium.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for calculating the weight of an object are provided. In one implementation, an apparatus for calculating weight comprises an image capture device and a processing device. The image capture device is configured to capture a plurality of images of a platform configured to support an object to be weighed, wherein the platform includes known pliability characteristics. The processing device is configured to calculate the weight of the object based on the plurality of images.

Abstract: 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.

Abstract: A package dimensioner is disclosed. A change in the pose of the package dimensioner is detected by background modeling the area of a measurement platform and then determining if a number of points in a scene are different in distance from the background model. Change in the pose can also be detected by comparing a count of support points in a 3D container generated from images taken in a training process with a count of support points in a subsequent images and determining how many support points are different.

Abstract: A terminal for measuring at least one dimension of an object includes a range camera, a visible camera, and a display that are fixed in position and orientation relative to each other. The range camera is configured to produce a range image of an area in which the object is located. The visible camera is configured to produce a visible image of an area in which the object is located. The display is configured to present information associated with the range camera's field of view and the visible camera's field of view.

Abstract: A package dimensioner is disclosed. A change in the pose of the package dimensioner is detected by background modeling the area of a measurement platform and then determining if a number of points in a scene are different in distance from the background model. Change in the pose can also be detected by comparing a count of support points in a 3D container generated from images taken in a training process with a count of support points in a subsequent images and determining how many support points are different.

Abstract: A package dimensioner is disclosed. A change in the pose of the package dimensioner is detected by background modeling the area of a measurement platform and then determining if a number of points in a scene are different in distance from the background model. Change in the pose can also be detected by comparing a count of support points in a 3D container generated from images taken in a training process with a count of support points in a subsequent images and determining how many support points are different.

Abstract: A terminal for measuring at least one dimension of an object includes a range camera, a visible camera, and a display that are fixed in position and orientation relative to each other. The range camera is configured to produce a range image of an area in which the object is located. The visible camera is configured to produce a visible image of an area in which the object is located. The display is configured to present information associated with the range camera's field of view and the visible camera's field of view.

Abstract: 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.

Abstract: In one example, the disclosure is directed to a method of determining a length of a wear pin in a brake assembly. The method includes obtaining an input image of a portion of the brake assembly, such as with a camera. The input image includes the wear pin and a reference object, and the reference object has a known dimension. A processor may determine, based on the input image, an image dimension of the reference object. The processor may determine, based on the input image, an image dimension of the wear pin. The processor may further determine, based on the image dimension of the reference object, the image dimension of the wear pin, and the known dimension of the reference object, an estimated measurement of the dimension of the wear pin.