Abstract: Techniques for volumetric assessment of a product based on images captured by a bi-optic scanner are disclosed herein. An example system includes a first imaging assembly, having a field of view of a product scanning region, configured to capture a first image of an item passing through the product scanning region; a second imaging assembly, having an orthogonal field of view, configured to capture a second image of the item passing through the product scanning region at the same time; processors; and a memory storing instructions that, when executed, cause the processors to: determine a first distance of the item from an edge of the first field of view based on the first image; determine a second distance of the item from the a corresponding edge of the second field of view based on the second image; and generate an estimated volume of the item based on the first image, the first distance, the second image, and the second distance.

Abstract: A barcode reader for detecting a printing anomaly is described herein. The barcode reader may receive read data associated with a read operation involving a barcode reader and a barcode. The barcode reader may process, using an anomaly detection model, the read data to determine an anomaly status associated with the barcode being printed by a printer. The anomaly detection model may be trained based on reference decoding metric information associated with corresponding reference images that depict barcodes associated with one or more printing anomalies. The barcode reader may determine, based on the anomaly status, a printer status associated with the printer. The barcode reader may provide an indication of the printer status.

Abstract: In some implementations, a device may configure security tags. The device may receive, from one or more cameras associated with the device, image data associated with a product moving through a scanning zone of the device. The device may determine, based on the image data, a direction of movement associated with the product moving through the scanning zone of the device. The device may configure, via a reader of the device and based on the direction of movement associated with the product, a setting of a security tag associated with the product.

Abstract: In some implementations, a device may configure security tags. The device may receive, from one or more cameras associated with the device, image data associated with a product moving through a scanning zone of the device. The device may determine, based on the image data, a direction of movement associated with the product moving through the scanning zone of the device. The device may configure, via a reader of the device and based on the direction of movement associated with the product, a setting of a security tag associated with the product.

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: Techniques for establishing a bidirectional wireless communication link between two otherwise detachable devices when these devices are physically joined together for use as a physically joined device are provided. An example method includes receiving by a mobile computing device a short-range wireless signal from an RFID reader device; monitoring, by the mobile computing device, an RSSI associated with the signal from the RFID reader device; and establishing, by the mobile computing device, a wireless communication connection to the RFID reader device based on the measured RSSI associated with the signal from the RFID reader device being greater than a threshold RSSI value, wherein the threshold RSSI value is calibrated based on an RSSI value associated with the short-range wireless signal from the RFID reader device measured by the mobile computing device when the mobile computing device is physically joined to RFID reader device for use as a joined device.

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: A barcode reader for detecting a printing anomaly is described herein. The barcode reader may receive read data associated with a read operation involving a barcode reader and a barcode. The barcode reader may process, using an anomaly detection model, the read data to determine an anomaly status associated with the barcode being printed by a printer. The anomaly detection model may be trained based on reference decoding metric information associated with corresponding reference images that depict barcodes associated with one or more printing anomalies. The barcode reader may determine, based on the anomaly status, a printer status associated with the printer. The barcode reader may provide an indication of the printer status.

Abstract: Techniques for establishing a bidirectional wireless communication link between two otherwise detachable devices when these devices are physically joined together for use as a physically joined device are provided. An example method includes receiving by a mobile computing device a short-range wireless signal from an RFID reader device; monitoring, by the mobile computing device, an RSSI associated with the signal from the RFID reader device; and establishing, by the mobile computing device, a wireless communication connection to the RFID reader device based on the measured RSSI associated with the signal from the RFID reader device being greater than a threshold RSSI value, wherein the threshold RSSI value is calibrated based on an RSSI value associated with the short-range wireless signal from the RFID reader device measured by the mobile computing device when the mobile computing device is physically joined to RFID reader device for use as a joined device.

Abstract: Systems and methods for scanning multiple items in a single swipe are disclosed herein. An example method includes capturing, by an optical imaging assembly, a plurality of images of a field of view (FOV) of the optical imaging assembly. A processor identifies a plurality of indicia from one or more images of the plurality of images. The indicia are indicative of the location of one or more objects of interest within the FOV. The processor decodes each indicia to determine information associated with the one or more objects of interest. The processor further identifies, a frame of interest in one or more images and initiates a dynamic frame that includes each frame of interest. The processor identifies, from the dynamic frame, a background region in the one or more images of the plurality of images, and the processor further removes the background region from the one or more images.

Abstract: Methods for accurate object tracking are disclosed herein. An example the method includes receiving, from a first optical imaging assembly having a first field of view (FOV), a first image captured over the first FOV and based on a decode of an indicia associated with an object of interest, identifying the object of interest within the first image. The method further includes determining a location of the object of interest within the first image and mapping the location of the object of interest within the first image to a predicted location of the object of interest within a second image, the second image being received from a second optical imaging assembly having a second FOV and the second image being captured over the second FOV.

Abstract: Methods for accurate object tracking are disclosed herein. An example the method includes receiving, from a first optical imaging assembly having a first field of view (FOV), a first image captured over the first FOV and based on a decode of an indicia associated with an object of interest, identifying the object of interest within the first image. The method further includes determining a location of the object of interest within the first image and mapping the location of the object of interest within the first image to a predicted location of the object of interest within a second image, the second image being received from a second optical imaging assembly having a second FOV and the second image being captured over the second FOV.

Abstract: Techniques for eliminating RFID cross-reads for RFID point of sale scanners using imager object tracking are disclosed herein. An example method includes measuring, by an imager a series of displacements of an object from a center of the field of view (FOV) of the imager, over a timeframe; measuring, by an RFID reader, a series of received signal strengths for an RFID tag over the same timeframe; comparing the series of displacements to the series of received signal strengths over the timeframe to determine a measure of similarity between the series of displacements of the object from the center of the FOV of the imager and the series of received signal strengths for the RFID tag over the timeframe; and responsive to the measure of similarity exceeding a threshold measure of similarity, adding a record associated with the RFID tag to a transaction log.

Abstract: Systems and methods for synchronizing a barcode decode with a video camera to improve accuracy of retail POS loss prevention are disclosed herein. An example system includes a video camera configured to capture a set of frames associated with a target object, the set of frames having a first number of frames; a symbology reader configured to: (i) decode a symbology attached to the target object and (ii) generate a signal based on the successful decoding of the symbology attached to the target object; and a processor configured to analyze a sub-set of the set of frames based on the signal, the sub-set of the set of frames having a second number of frames that is smaller than the first number of frames.

Abstract: Systems and methods for adapting swipe speeds for barcode readers. A barcode reader includes a housing and an optical imaging assembly positioned at least partially within the housing. The optical imaging assembly has a field of view (FOV). The optical imaging assembly is operable to capture one or more images of the FOV. The barcode reader also includes a processor communicatively coupled to the optical imaging assembly. The processor is configured to initiate an identification session when a target at least one of (i) enters the FOV and (ii) is in the FOV.

Abstract: A method is disclosed for automatic white balance correction of color cameras. The method includes capturing a first image of a target object, the first image containing a calibration area defined by a symbology and a calibration zone within the calibration area. The symbology encodes data and has first-color elements and second-color elements. The calibration zone is defined by at least some of at least one of the first-color elements and second-color elements. The method includes obtaining a location of the calibration area in the first image, and capturing a second image of the target object, the second image being multicolor. The method includes locating the calibration area in the second image based on the location, and analyzing the calibration zone within the calibration area of the second image. The method includes calculating and applying at least one white balance compensation bias based on the analyzed calibration zone.

Abstract: Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

Abstract: A multi-plane scanner device, such as a bi-optic barcode scanner, includes a color imager for generating color image data on a scanned object and one or more sensors for generating sensed data on the object. Particularly, the sensors include a hyperspectral sensor configured to capture non-visible sensed data on the scanned object. The color image and sensed data are provided to a classification server implementing a neural network framework that generates a classification model for identifying objects based on the both the image data and the sensed data.

Abstract: Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

Abstract: Techniques are provided for training a neural network, where the techniques include receiving image scan data of an object, such as a product or package presented at a scanning station, where the image scan data includes an image that contains at least one indicia corresponding to the object and physical features of the object. A neural networks examines the physical features and determines weighting indicating a correlation strength between the physical feature and an identification data of the object. Thereby training a neural network to identify objects from their scanned physical features in place or in accompaniment to scanned indicia data.