Zebra Technologies Corporation

Andrew Ehlers

Seth David Silk

Matthew Louis Kowalski

Nathan J Clevenger

Richard Mark Clayton

Nicole Daphne Tricoukes

Patrick Martin Brown

Scott R Olson

John M Seimer

Peter S Carberry, Iv

Nirav Shah

Gamaethige Sulak Soysa

Techniques for adjusting the strengths of signals received from a transmitter based on the transmitter's likely location are disclosed herein. An example method includes receiving, by one or more processors, location information corresponding to one or more respective areas expected to be visited by an individual; receiving, by the one or more processors, measurements indicative of signal strengths of one or more signals transmitted by a transmitter associated with the individual and received by one or more receivers configured to receive one or more signals transmitted by the transmitter, the one or more receivers being positioned at respective receiver locations corresponding to one or more respective areas; and adjusting, by the one or more processors, the received measurements indicative of the signal strengths of the one or more signals transmitted by the transmitter based on the one or more respective areas expected to be visited by the individual.

Adjustment of BLE RSSI values based on a tag's likely location

Techniques for adjusting the sizes of geo-fences based on an individual's likely location are disclosed herein. An example method includes determining one or more geo-fenced zones corresponding to one or more respective areas; receiving location information indicative of the one or more areas expected to be visited by the individual, of the one or more respective areas; and adjusting the one or more geo-fenced zones based on the one or more respective areas expected to be visited by the individual.

Expansion of geo-fence size based on a tag's likely location

Feedback generation for a container load process includes digitizing a manual workflow into stages, assigning intermediate targets to each stage, monitoring the workflow, and generating notifications to exert feedback control over the workflow. Feedback generation can include: storing a set of load stage definitions defining sequential load stages of the load process, each stage definition including: an intermediate performance target, and a stage duration; responsive to arrival of a container at a load bay, receiving a task definition defining a performance target for the load process; retrieving the load stages in sequence and, for each stage: receiving sensor data depicting an interior of the container; determining, based on the sensor data, a performance measurement of the container load process, comparing the performance measurement to the intermediate performance target corresponding to the stage, and based on the comparison, generating an alert and/or status message for transmission to a client computing device.

Monitoring and feedback system for processing container loads to direct performance outcomes

An operation management system is disclosed. The operation management system may receive a video stream from a wearable device of a user that is performing an operation in a physical environment. The operation management system may process, using an operation performance model, a set of frames of the video stream that indicates a state of a performance of the operation by the user. The operation management system may determine, based on the state of the performance by the user, a next task of the operation. The operation management system may configure display data that is associated with a physical object that is associated with the next task. The display data may be associated with an indicator that identifies the physical object and/or task information associated with performing the next task. The operation management system may provide the display data to the wearable device.

Operation management system utilizing a wearable device

A method of generating feedback for a container load process includes: during a load process for a container at a load bay, controlling a sensor assembly disposed at the load bay to capture sensor data depicting an interior of the container; at a computing device connected to the sensor assembly, detecting, based on the sensor data, a wall of items placed in the container interior; determining, at the computing device from the sensor data: (i) a boundary attribute of the detected wall, and (ii) a composition attribute of the detected wall; comparing, at the computing device, (i) the boundary attribute to a boundary criterion, and (ii) the composition attribute to a composition criterion; and responsive to at least one of the boundary attribute not meeting the boundary criterion, or the composition attribute not meeting the composition attribute, generating an alert for transmission to a client computing device.

Container load quality monitoring and feedback system

A system for recording events on a distributed ledger includes: a server; a terminal including a terminal processor executing an OS; and a data capture device including a housing, a data capture assembly configured to capture product data, a communication interface, a memory including a first driver and/or a firmware, and a processor executing instructions in the memory. The instructions include instructions to transmit the product data to the terminal through the communication interface. The terminal includes a second driver enabling the OS to communicate with the data capture device to accept the product data. At least one of the first and second drivers and the firmware includes a transmission flag changeable between activated and deactivated states. The activated state causes the product data to be transmitted to the server. Upon the product data satisfying a recordation condition, the product data is recorded, from the server, to the distributed ledger.

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Elmhurst, IL, United States of America

Andrew Ehlers