Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. UPC features included in the item parameters associated with each item when combined are indicative as to an indication of the UPC of each item. The UPC features are analyzed to determine whether the UPC features associated with each item when combined match a corresponding combination of UPC features stored in a database. The database stores different combinations of UPC features with each different combination of UPC features associated with a corresponding item thereby identifying each corresponding item based on each different combination of UPC features associated with each item. Each item positioned at the POS system is identified when the UPC features associated with each item when combined match a corresponding combination of UPC features as stored in the database.

Abstract: Systems and methods include automatically identifying items from images of items positioned at a POS system. Cameras capture images of the items in which each camera captures images with different FOVs of the items thereby capturing different item parameters of each item. The items are identified when item parameters of the items match item parameters previously identified and the items are failed to be identified when item parameters fail to match item parameters previously identified. Image pixels associated with each unknown item are extracted and mapped to real world coordinates associated with each unknown item as positioned at the POS system. A bounding polygon for each unknown item is generated that encapsulates each unknown item based on the image pixels mapped to the real world coordinates. The bounding polygon is projected onto each unknown item thereby providing feedback for each unknown item positioned at the POS system.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: A vehicle zone control system may include a tractor having a propulsion unit and a steering unit, at least sensor carried by the tractor and stored data defining a plurality of zones proximate the vehicle. The system determines in which of the plurality of zones a remote operator on ground proximate the tractor currently resides based upon signals from the at least one sensor. The system differently controls at least one of the propulsion unit and the steering unit based upon in which zone the remote operator currently resides.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

Abstract: A microelectronic device comprises a stack structure, first dielectric-filled trenches extending vertically through the stack structure, and at least one second dielectric-filled trench intersecting the first dielectric-filled trenches. The stack structure comprises a vertically alternating sequence of conductive material and insulative material arranged in tiers. The first dielectric-filled trenches divide the stack structure into blocks and extend horizontally in a first direction. At least one second dielectric-filled trench extends horizontally in a second direction orthogonal to the first direction. At least one second dielectric-filled trench has boundaries defined by at least one staircase structure having steps defined by horizontal ends of the tiers in the first direction. Memory devices and electronic systems are also described.

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

Abstract: A vehicle control system may include a vehicle having a propulsion unit and a steering unit, a forward-facing camera carried by the vehicle, a processor, and a non-transitory computer-readable medium comprising operator position identification instructions. The operator position identification instructions direct the processor to identify relative positioning of a remote operator on the ground proximate the vehicle based upon signals from the forward-facing camera; and control the propulsion unit and the steering unit of the vehicle to follow the operator based upon the relative on the ground proximate the vehicle.

Abstract: A vehicle is operable in a first mode in which vehicle actions are controlled in response to inputs received by an input device carried by the vehicle from an operator while being boarded on the vehicle and in a second mode in which vehicle actions are controlled in response to inputs received from the operator while the operator is proximate the vehicle, but no longer boarded on the vehicle. The vehicle carries a sensor configured to output a sensed input, as sensed by the sensor, from the operator proximate the vehicle, but not boarded on the vehicle. The sensed input is recognized and associated with a vehicle action and control signals are output to the vehicle based on the sensed input to cause the vehicle to carry out the vehicle action.

Abstract: A thermal management module for an integrated circuit assembly includes a housing defining a configured to receive a fluid and having a variable cross-sectional area. The thermal management module also includes a wick disposed within the sealed passage, where the wick forms pores configured to convey a liquid form of the fluid toward an evaporator section of the thermal management module. The thermal management module also includes a void formed within the sealed passage between the wick and a wall of the housing, wherein the void is configured to convey a vapor form of the fluid toward a condenser section of the thermal management module.

Abstract: A method of forming a microelectronic device comprises forming a stack structure over a source structure, forming pillar structures vertically extending through the stack structure, and forming at least one trench vertically extending through the stack structure. The at least one trench defines at least one stadium structure comprising opposing stair step structures having steps comprising horizontal ends of tiers. Additional trenches may be formed to vertically extend through the stack structure, and at least one further trench may be formed to vertically extend through the stack structure. The at least one further trench defines at least one additional stadium structure comprising additional opposing stair step structures having additional steps comprising additional horizontal ends of the tiers. A dielectric material may be formed within the at least one trench, the additional trenches, and the at least one further trench. Microelectronic devices, memory devices, and electronic systems are also described.

Abstract: A thermal module includes parts with diverging or divergent walls that cause a capillary pressure gradient in a bonding paste used to secure the parts together. Based in part on the capillary pressure, the bonding paste is drawn in between the divergent walls, including small gaps between the walls. Additionally, during a reflow operation of the bonding paste, particles and/or air bubbles can egress from the bonding paste, allowing the bonding paste to freeze and form a homogeneous structure. By removing particles and air bubbles, the bonding paste can form a more robust structural joint and a hermetic seal for the thermal module. The multiple parts of the thermal module can be formed into their respective shapes prior to be joined together by the bonding paste. As a result, the formation of the thermal module is less likely to damage other structures, such as wick structures.

Abstract: Aspects presented herein may improve positioning performance and latency for UEs with dual subscriber identity module (SIM) dual active (DSDA) feature(s). In one aspect, a UE establishes a connection with a first network entity and a second network entity based on DSDA. The UE selects (1) the first network entity or the second network entity for downloading data associated with calculating a position of the UE based on at least one criteria, or (2) a fix for calculating the position of the UE based on a set of available cache-based fixes associated with the first network entity and the second network entity. The UE calculates the position of the UE based on the downloaded data or the selected fix.

Abstract: A vehicle may include a movable roof, a sensor supported by the roof, and an actuator for selectively raising and lowering the roof.

Abstract: A vehicle row follow system may include a vehicle comprising at least one sensor to output signals serving as a basis for a three-dimensional (3D) point cloud and to output signals corresponding to a two-dimensional (2D) image of a region forward the vehicle. The system may further include a non-transitory computer readable medium containing instructions to direct a processor to: determine plan row lines in a 2D image; determine a yaw of the vehicle based upon a slope of a heading line relative to a centerline between the plant row lines in the 2D image; determine a lateral offset of the vehicle from the centerline between the consecutive plant rows based upon an identity of the consecutive plant rows in the 3D point cloud; and output steering control signals based upon the determined yaw and lateral offset of the vehicle.

Abstract: The invention provides systems, methods, and devices relating to the provision of system-wide coordinated control voltage regulation support in power transmission and distribution networks using multiple inverter based power generation or absorption facilities, which are coupled to the power transmission and distribution networks for minimizing transmission and distribution line losses and for performing Conservation Voltage Reduction. The invention uses a novel control method of inverter based Distributed Generators as Static Synchronous Compensator (STATCOM) in a way that provides dynamic voltage regulation/control, thereby performing at least one of: reduction of line losses, Conservation Voltage Reduction, reduction of load demand, lowering peak demand and reduction of energy consumption The invention is also applicable for use with microgrids.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.