Abstract: Systems and methods for fast autotuning of industrial fixed vision cameras are disclosed herein. An example method includes modifying illumination settings of a camera until a brightness value for captured image data reaches a minimum value; modifying a focus level of the camera to determine a range of camera focus levels for successfully decoding barcodes; configuring the camera to operate using a midpoint focus value of the range; modifying illumination settings of the camera until the brightness associated with the captured image data reaches an optimal value; and modifying the focus level of the camera, within the range, to determine an optimal focus level at which sharpness for the captured image is optimized; and capturing, by the camera, operating at the determined optimal focus level and with illumination settings for the optimal threshold brightness value, image data associated with a new target object affixed with a new barcode.

Abstract: A computing device includes: a wireless communication interface; and a processor configured to: establish a connection with a wireless network; while a network-layer status of the connection is active, monitor attributes of the connection at the wireless communication interface, the attributes including (i) a number of uplink packets transmitted since a most recent downlink packet was received, and (ii) a time period elapsed since the most recent downlink packet was received; determine that the attributes meet recovery criteria indicative of a network-layer interruption in the wireless network; in response to the determination, control the wireless communication interface to initiate a recovery action to resolve the network-layer interruption.

Abstract: A method for cross read mitigation in a monitoring station for vehicles carrying respective wireless tags having tag identifiers includes: receiving, from a first tag sensor disposed to detect wireless tag signals in a first lane of the monitoring station, a first tag read containing a tag identifier; receiving, from a second tag sensor disposed to detect further wireless tag signals in a second lane, adjacent to the first lane, of the monitoring station, a second tag read containing the tag identifier; in response to receiving the first and second tag reads, providing an updated tag detection parameter to each of the first and second tag sensors; receiving, from one of the first and second tag sensors, a third tag read containing the tag identifier; and in response to receiving the third tag read, instructing the one of the first and second tag sensors to report the tag identifier to a monitoring server.

Abstract: An optical assembly for illuminating at least one object appearing in a field of view (FOV). The optical assembly includes first and second illumination sources configured to provide first and second illumination to illuminate a target of the object. An aperture configured to collimate the first and second illumination and to provide the illumination to a dual collimator. The dual collimator is disposed to collimate the first and second illumination and to provide the first and second illumination to a dual microlens lens array (MLA). The dual MLA has microlens arrays configured to receive the collimated first and second radiation, to provide two illumination output fields, each output field having a different output illumination field angle.

Abstract: An imaging device includes a housing having an optically transmissive window, a first imaging assembly, a second imaging assembly, and illumination emitter for generating a user interface visual indicator. The illumination emitter may be a light emitting diode or other light source. To prevent internal reflection of the user interface visual indicator off the window and appearing in captured images from the imaging assemblies, the imaging device synchronizes emitter-on times and sensor exposure-on times to prevent substantial overlap therebetween, thereby allowing for more accurate image captures, including color image captures of the imaging device.

Abstract: Systems and methods are described for implementing scanner configuration based on focus of one or more host application screens. Example systems and methods comprise detecting a focus event of an application (app) as executing on one or more processors. An active focus module (AFM) detects the focus event. The AFM or a scanner device is configured to receive data in a first data app format. Scan data is scanned by the scanner device and is formatted, at the AFM or at the scanner device, into app data having the data app format. The app data is then provided to the app.

Abstract: Systems and methods for adaptively determining a region of interest (ROI) are disclosed herein. An example device includes an imaging assembly and a controller. The imaging assembly captures image data comprising pixel data from a plurality of pixels. The controller calculates a contrast value for each pixel of the plurality of pixels, generates a histogram of contrast values, calculates an area under the curve of the histogram, and determines a contrast value threshold to delineate between high-contrast value pixels and low-contrast value pixels. The controller also identifies a ROI within the image data by locating a region within the image data that (i) satisfies a pre-determined size threshold and (ii) contains a largest number of high-contrast value pixels relative to all other regions that satisfy the pre-determined size threshold, and adjusts imaging parameters of the imaging assembly based on the ROI to capture at least one subsequent image.

Abstract: A method and system for operating an indicia reader are disclosed herein. An example method includes detecting a first object in the scanning region; capturing one or more images of the first object to create first image data; determining that a successful decode of an indicia has not occurred; retrieving the first image data of the first object; generating, using the first image data, an embedding of the first image data; detecting a second object in the scanning region; retrieving one or more support samples from an image database; comparing the embedding of the image data to each support sample of the one or more support samples; based on the comparison that the embedding of the image data does not match any support sample, performing an operation.

Abstract: A method of pairing a mobile computing device with an external device during set up of the mobile computing device, the method comprising, at a computing device initiate a setup application for the mobile computing device; determining if the mobile computing device has an internal scanner; when the mobile computing device does not have an internal scanner: prepare the mobile computing device for pairing with a peripheral scanning device; prepare the peripheral scanning device for pairing with the mobile computing device; pairing the mobile computing device with the peripheral scanning device; and scanning staging indicia with the peripheral scanning device to initiate a device staging application within the mobile computing device.

Abstract: A weigh platter assembly includes a weigh platter and a parallax based off-platter detection assembly having a light emission assembly, a light detection assembly, and a controller. The light emission assembly has a light source to emit a light beam along a lateral edge of the weigh platter. The light detection assembly detects at least a portion of the light beam reflected from an object extending across the light beam and includes a sensor offset from the light source and an aperture positioned in front of the sensor and configured to limit a field of view of the sensor along the lateral edge between proximal and distal edges of the weigh platter. The controller is configured to provide a first signal in response to a first value received from the sensor and to provide a second signal, different from the first signal, in response to a second value.

Abstract: Optical arrangements for small size wide angle auto focus imaging lens for high resolution sensors are disclosed herein. An example optical assembly includes a first lens holder, a second lens holder, a first lens group, a biasing element, and a variable focus optical element. The first lens holder includes a collar having an internal flange forming a spring seat and the first lens group is disposed within the first lens holder. The second lens holder includes a collar defining a chamber and is coupled to the collar of the first lens holder. The variable focus optical element is disposed within the chamber of the second lens holder and the biasing element is disposed within the chamber of the second lens holder between the spring seat and the variable focus optical element and configured to apply a threshold force to the variable focus optical element.

Abstract: An apparatus for capturing an image of at least one object appearing in an imaging field of view (FOV). A housing has an imaging sensor operably coupled with the circuit board, the imaging sensor configured to capture an image frame appearing in the imaging FOV and defining an imaging axis. An illumination assembly has a plurality of light sources operably coupled with the circuit board, a diffuser positioned adjacent to the plurality of light sources, the diffuser configured to generate a diffused light pattern, and a light pipe positioned adjacent to the plurality of light sources to generate a direct illumination pattern and an off-axis illumination pattern, wherein the direct illumination pattern is oriented generally parallel to the imaging axis and the off-axis illumination pattern is configured to intersect the imaging axis.

Abstract: Methods and systems include using three-dimensional imaging apparatuses to capture three-dimensional images and analyze resulting three-dimensional image data to enhance captured two-dimensional images for scanning related processes such as object identification, symbology detection, object recognition model training, and identifying improper scan attempts or other actions performed by an operator. Imaging systems such as bi-optic readers, handheld scanners, and machine vision systems are described using three-dimensional imaging apparatuses and described capturing three-dimensional images and using with captured two-dimensional images.

Abstract: A method includes: obtaining, at a server, an observation record describing a condition at a facility; determining, from the observation record, a set of selection criteria corresponding to the condition; retrieving, from a repository connected to the server, a set of data objects according to the selection criteria; generating, from the retrieved data objects, a contextual dataset associated with the condition; and presenting the contextual dataset to a client computing device.