Abstract: Multiple images of multiple items are captured of a transaction area during a checkout. The Red-Green-Blue (RGB) data associated with each item image patch is collected across the images and provided as input by a Machine-Learning Model (MLM), which returns an item code for the item. When the given MLM is unable to satisfactorily predict an item code for a given set of image patches, the patches associated with the images are presented to an operator of a checkout and the operator is asked to scan an item barcode for that item. The patches are labeled within the images with the item code and additional images of the item are captured and labeled with the item code when the barcode is scanned by the operator. The labeled images are used in a subsequent training session with the MLM to improve its item recognition accuracy for the item.

Abstract: An apparatus is provided that executes instructions to move an item within a scan zone to specific X-Y coordinates of the scan zone. The item is placed on a platform and is rotated 360 degrees at each X-Y coordinate within the scan zone. Item images are captured by cameras at each X-Y coordinate and for each rotation at the corresponding X-Y coordinate. The item images are labeled and retained. The item images are used as input to a Machine-Learning Model (MLM) to train the MLM to recognize item codes for the items when subsequent images are captured for the item during a checkout. In an embodiment, during a checkout unknown item images are flagged and labeled with the corresponding item code when the corresponding item's barcode is scanned during the checkout; the labeled item images are also retailed for training the MLM for item recognition.

Abstract: A single item image is captured of an item situated within a given zone of a transaction area is captured, each different zone for each given item is associated a plurality of single item images captured by different cameras at different angles and perspectives of the transaction area. The single item images are passed to an existing segmentation Machine-Learning Model (MLM) and accurate masks for the items produced by the existing MLM are retained. A background image of an empty transaction area is obtained, each retained single item image is cropped and superimposed into the background image with one or more different cropped and superimposed singe item images creating a composite multi-item image. The composite multi-item images are labeled to identify the boundaries of each single item image and the existing segmentation MLM is trained on the composite multi-item and labeled images producing an enhanced segmentation MLM.

Abstract: Multiple images of a designated area are taken. The designated area comprises multiple items that are to be identified from the images. Depth information and Red, Green, Blue (RGB) data from each image is processed to create a point cloud for each image of the designated area. The point clouds are patched together or synchronized into a single point cloud for the designated area. Known background pixels associated with backgrounds for each image are removed from the single point cloud. The depth information and RGB data for the single point cloud is clustered together and bounding boxes are placed around each item in the single point cloud. At least the RGB data for each bounding box is provided to a machine-learning model (MLM) and the MLM returns an item code for the corresponding item. The item codes are fed to a transaction manager for a transaction associated with a customer.

Abstract: Images of a transaction area comprising items are received during a checkout. Red-Green-Blue (RGB) data and Depth data are received with each image. Pixels captured in any given image by a given camera are pre-aligned with physical locations of a transaction area. Depth data provided by each camera and that camera's pre-alignment to the area are processed to map pixels in each image taken to X-Y coordinates within the area. X-Y coordinates for each item and for each image are grouped together as a single item within the area. RGB data for each image and item is used as a set of image patches per item. For each item, the corresponding patches are passed to a classification Machine-Learning Model (MLM) that returns an item code for each patch. A particular item code is selected for each set and the item codes are used to process the checkout.

Abstract: A first Machine-Learning Model (MLM) is processed on multiple images of a scene, each scene comprising a different perspective view of each of a plurality of items. The first MLM produces masks for the items within each image, each mask representing a portion of a given item within a given image. Depth information associated with the images and the masks are processed to isolate each portion of each item within each image. A single scene image is generated from the images by stitching each image’s pixel data from each portion or each image into a composite item image within the single scene image. Each item’s composite item image is passed to a second MLM and the second MLM returns an item code for the corresponding item associated with the corresponding composite item image. The item codes for each item is passed to a transaction manager to process a transaction.

Abstract: A system and method for determining event discrepancies between disparate systems is described. The system can receive sets of events from multiple systems. The system can normalize the sets of events to convert them into normalized events. From a normalized set of events, the system can concurrently generate a plurality of event arrays. The system can apply one or more rules to the event arrays to generate at least one event array parameter.

Abstract: A system and method for determining event discrepancies between disparate systems is described. The system can receive sets of events from multiple systems. The system can normalize the sets of events to convert them into normalized events. From a normalized set of events, the system can concurrently generate a plurality of event arrays. The system can apply one or more rules to the event arrays to generate at least one event array parameter.

Abstract: Devices and methods can be used to treat dermatologic disorders, hyperhidrosis, and wrinkles using DC electroporation. In some cases, such electroporation is essentially non-thermal modulation that can be used to ablate keratinocyte neoplasms, such as seborrheic keratosis, and other non-keratinocyte derived neoplasms of the skin and adnexal structures and related structures in other anatomic sites. In some implementations, the devices and methods described herein can be used for therapy delivery for the treatment of early or pre-malignant skin cancers. In some implementations, the devices and methods described herein can be used for treatment of hyperhidrosis and cosmetic issues.

Abstract: A balance assist and fall prevention assembly for preventing falls and providing balance assistance includes a plurality of rails and a harness. The rails are mountable to a ceiling of a structure and are selectively interconnectable so that respective rails are extend along an associated route in the structure that is routinely traversed by a user. A trolley is rollably engaged to the plurality of rails. The harness can be selectively donned by the user so that the harness is removably engaged to the user. A tether is engaged to and extends between the harness and the trolley. The tether is selectively length adjustable so as to extend substantially linearly between the harness and the trolley with the user standing substantially upright and beneath the trolley. The tether thus improves balance of the user and to prevents falling of the user.

Abstract: A system and method is described for printing a label with an RFID tag. The system includes an RFID reader that queries a first RFID tag coupled to a first medicinal container that includes a medication. In response, the system receives a first unique identifier and uses the first unique identifier to determine a status of the medication, associate the first medicinal container with a medical provider and print a second label that includes a second RFID tag for a second medicinal container.

Abstract: An optimized route to pick a list of items through a store is obtained. Sensor data for a mobile device of a user is evaluated in real time to provide fine-grain orientation, direction, location, and behaviors of the user along the route during a picking session. A determination is made based on the sensor data and a current portion of the route that the user has picked a current item from the store and a next item along with its route guidance is provided to the user without any user action being required. In an embodiment, tactile, speech, and/or audible feedback is provided from the device when the determination is made that an item was picked by the user. In an embodiment, predefined movements of the device are identified as user-provided route commands and processed on behalf of the user during the session.

Abstract: A list of items to pick for an order at a store is obtained. A hierarchical graph of the store is maintained based on regions within the store, endpoints within the store, and locations of items relative to the regions and endpoints. Each item in the list is connected to its nearest endpoint within the graph and a path is found between the endpoints. An optimized and order list of the items is found based on an optimal path through each endpoint. For each segment within the path a list of traversed endpoints is identified. The endpoints are grouped by region; a new navigation instruction is generated only when a given region is changed. The process is repeated for each pair of items in the list; the list is reduced; and translated into text as an optimal path to pick the items of the order within the store.

Abstract: A multi-source ground-to-air heat transfer system is configured to store thermal energy during a cooling/dehumidifcation mode of operation for future use during a heating mode of operation. The multi-source ground-to-air heat transfer system utilizes a ground loop that is configured under an enclosure, such as a greenhouse, and is in thermal communication with a thermal reservoir medium to conduct and store heat. A thermal exchange fluid is pumped through the ground loop and ground heat exchanger and may receive heat from a condenser during a cooling/dehumidification mode of operation and may liberate heat to the evaporator during a heating mode. The enclosure air may receive heat from the heat pump during a heating mode and may liberate heat to the evaporator during a cooling/dehumidification mode. The heat exchange system may employ a heat pump having a reversing valve to change the mode of operation.

Abstract: Techniques for evaluating and optimizing cybersecurity operations in an organization is disclosed. The method includes the step of providing a first set of threat scenarios to a cybersecurity operations team in a live environment and a second set of scenarios in a static environment. The response of the teams including various parameters associated it such as time taken for responding, strategies used, effectiveness of the response, etc., are recorded. Based on the recorded responses, the method further performs the step of determining overall assessment scores. Upon determining the scores, the method further performs the step of contextualizing the scores based on a plurality of parameters. Based on the contextualized scores, the method provides detailed insights and recommendations related to the performance of cybersecurity teams.

Abstract: Techniques for mitigating cybersecurity performance gaps in an organization are disclosed. The method comprises the steps of selecting a threat framework for formulating a threat detection strategy, mapping most likely adversary tactics that may be used to circumvent the threat detection strategy, updating the threat detection strategy, and performing threat detection to determine threat assessment scores. Further, the determined scores are categorized and contextualized to identify cybersecurity gaps in the organization. These gaps are prioritized based on certain criteria to provide automated recommendations and alerts regarding cybersecurity performance gaps and related organizational risks.

Abstract: An aerodynamic fairing assembly for attachment to a trailer of a tractor-trailer. The aerodynamic fairing assembly may comprise a front skirt fairing and a rear skirt comprising a transition. The transition may extend outwardly of the side skirt fairing at a distance from the centerline of the trailer. The side skirt faring and rear skirt fairing are coupled to the trailer by one or more struts.

Abstract: An aerodynamic fairing assembly for attachment to a trailer of a tractor-trailer. The aerodynamic fairing assembly may comprise a front skirt fairing and a movable skirt fairing that is configures to move forward and rearward along the length of the trailer. The front skirt faring and movable skirt fairing are coupled to the trailer by one or more mounting brackets.

Abstract: The aerodynamic skirt assembly for attachment to a trailer may comprise a side skirt fairing, a rear skirt fairing, and a secondary treatment. The side skirt fairing may comprise an inner surface and an outer surface. The rear skirt fairing may comprise an inner surface and an outer surface and located aft of the side skirt fairing. The secondary treatment may be coupled to the outer surface of the rear skirt fairing, wherein the secondary treatment is canted outwardly at an angle from the outer surface of the skirt fairing and configured to redirect the air around the at least one rear wheel assembly.

Abstract: A method for starting and operating a NMHC fueled gas turbine combined cycle power plant includes injecting gaseous NMHC fuel into a gaseous NMHC fuel treatment system, injecting at least one of auxiliary steam, HRSG steam, or HRSG water into the gaseous NMHC fuel treatment system, and mixing the at least one of auxiliary steam, HRSG steam, or HRSG water with the gaseous NMHC fuel in the NMHC fuel treatment system to form a gaseous NMHC fuel mixture. The method further includes injecting the gaseous NMHC fuel mixture into a gaseous NMHC fuel distribution system, and providing the gaseous NMHC fuel mixture through the gaseous NMHC fuel distribution system to a combustor of the NMHC fueled gas turbine.