A robotic system is disclosed that include an articulated arm and a first perception system for inspecting an object, as well as a plurality of additional perception systems, each of which is arranged to be directed toward a common area in which an object may be positioned by the robotic arm such that a plurality of views within the common area may be obtained by the plurality of additional perception systems.

An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.

Disclosed herein are methods of using an augmented reality trigger to locate and/or read a Data Code in an image. A method according to this disclosure may include the step of using an augmented reality trigger in an image to initiate an augmented reality experience, locating portions of Data Code arrange in a plurality of locations within the image, and combining each of the Data Code portions for processing as a unified Data Code. The augmented reality trigger may be stored in a data set including location information to locate each of the Data Code portions. The data set may include information to combine the plurality of Data Code portions.

A computer can comprise a housing, a microprocessor disposed within the housing, a display, and a communication interface communicatively coupled to the microprocessor. The computer can be configured, responsive to locating decodable indicia within content viewable on the display, to decode the decodable indicia to produce at least one decoded message. The computer can be further configured to display the content with decoded message data being embedded into the content. The decoded message data can be provided by at least one decoded message, data derived from the decoded message.

A computer can comprise a housing, a microprocessor disposed within the housing, a display, and a communication interface communicatively coupled to the microprocessor. The computer can be configured, responsive to locating decodable indicia within content viewable on the display, to decode the decodable indicia to produce at least one decoded message. The computer can be further configured to display the content with decoded message data being embedded into the content. The decoded message data can be provided by at least one decoded message, data derived from the decoded message.

Method and associated system for reading machine-readable labels on a plurality of sample receptacles held by a sample rack. In the method, a machine-readable label associated each of the plurality of sample receptacles is read with a first label reader when the rack is at a first location. The sample rack is then moved from the first location to a second location, where a rack identifier on the sample rack is sensed with a sensor separate from the first label reader. Finally, the rack identifier is associated with the machine-readable labels of the plurality of sample receptacles.

The present disclosure relates to a system and method for detecting an address block and barcode on a captured image of an item, and reading the detected barcode using connected component analysis. In one aspect, the method includes binarizing a captured image to generate a binarized image having pixel values, inverting the pixel values of the binarized image, processing the inverted pixel values, and filtering the processed image by area. The method may also include machine learning the processed image to cluster objects in the processed image into a plurality of groups using the filtered image, and determining a number of objects in each of the clustered groups by performing additional operations on the clustered objects to detect the address block. The method may also include selecting the group having the greatest number of objects as the address block, and extracting the selected address block.

A method includes receiving, by a network computing device, interaction information from one or more of: a destination computing device and at least one source computing device of two or more source computing devices. The interaction information is regarding an interaction between the destination computing device and the two or more source computing devices. The method further includes generating a destination portion and two or more source portions of a code representative of the interaction information. The destination portion of the code and the two or more source portions are not individually readable. The method further includes sending the destination portion of the code to the destination computing device, sending the two or more source portions of the code to the corresponding two or more source computing devices, and when an indication that the produced code has been captured is obtained, finalizing the interaction.

Embodiments provide apparatuses, computer-implemented methods, and computer program products for generating an augmented aimer and using the augmented aimer to generate an augmented image. The augmented image is usable to aim a device, such as a reader, that captures image(s) for processing to detect and/or decode machine-readable symbologies therein. Some example embodiments include improved reader(s) configured to generate and/or utilize the augmented aimer. Some embodiments include receiving a first image captured by a first imager of at least one imager. Some embodiments further include generating, utilizing the first image, an augmented image comprising an augmented aimer corresponding to an optical center point associated with the first imager. Some embodiments further include causing rendering of the augmented image to at least one user interface. Some embodiments further include processing the first image to attempt reading of at least one machine-readable symbology in the first image.

Example methods, apparatuses and systems are disclosed for providing a device for capturing a barcode image within an augmented reality environment. An example method includes detecting a target object within a field of view of an augmented reality viewing device. The method further includes rendering an image of a scanning device within the field of view of the augmented reality viewing device, and rendering a scanning area within the field of view of the augmented reality viewing device. Further, a camera associated with the augmented reality viewing device captures an image of a barcode located on the target object. Corresponding apparatuses, systems, and computer program products are also provided.