Abstract: Systems, methods, and computer-readable media are disclosed for an enhanced valet mode for vehicles. An example method may include receiving, by a vehicle, a request for a temporary valet passcode. The example method may also include determining, that a passive entry passive start (PEPS) key fob is not present inside the vehicle. The example method may also include presenting a request for a second passcode. The example method may also include determining that the second passcode has been input. The example method may also include determining that the second passcode matches a pre-established passcode that is stored in memory of the vehicle. The example method may also include generating, using an enhanced valet mode, a first temporary valet passcode based on the determination that the second passcode matches a pre-established passcode that is stored in the memory.

Abstract: A system for assisting in the retrieval of a clot from a vessel. The system can include an outer catheter and an inner catheter disposed in a lumen of the outer catheter. The inner catheter can include a distal end, a proximal end, a distal segment, a proximal segment, and a lumen extending proximal of the distal end and terminating at a transfer port at the proximal end of the distal segment. A seal is located on the outer surface of the inner catheter distal of the transfer port, the seal capable of sealing against the lumen of the outer catheter so that aspiration applied through the outer catheter is configured to be transferred to the inner catheter.

Abstract: A groundwater heat exchanger includes a plurality of heat exchange pipes, a housing and a cable channel. Each of the heat exchange pipes is configured to receive a loop fluid flow. The housing has an interior chamber that contains the heat exchange pipes and defines a groundwater passageway that is configured to receive a groundwater flow. The cable channel is formed on an exterior of the housing and extends along a central axis of the housing. The cable channel includes at least one cable pathway configured to receive one or more cables.

Abstract: A method includes classifying, via a computational model, images of a source image stream as valid images or invalid images based on whether the images include biological tissue or a surgical tool; and generating a condensed image stream that includes the valid images. Another method includes classifying input images as valid images or invalid images using: a clustering algorithm that classifies each of the input images into either a first group or a second group and using labels that indicate whether the input images include a surgical tool. The method also includes training a computational model to identify the valid images based on whether the valid images include biological tissue or a surgical tool, or whether the valid images have at least a threshold level of clarity.

Abstract: A computer system and computer-implemented method are provided for provisioning new instances in distributed computing systems. The method includes, responsive to a request to add a new instance in a distributed computing system having a plurality of instances, obtaining a list of identifiers from a currently running instance in the distributed computing system, the identifiers corresponding to software routines cached by the currently running instance; and loading, based on the identifiers, the software routines cached by the currently running instance into a cache on the new instance.

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. 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 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. 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 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: 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: A clot retrieval device for removing occlusive clot from a blood vessel. The device comprises an inner elongate body having a collapsed delivery configuration and an expanded deployed configuration. An outer elongate body is at least partially overlying the inner elongate body. The outer elongate body is expandable to a radial extent which is greater than the radial extent of the inner body in the deployed configuration to define a clot reception space. The outer elongate body has a plurality of clot receiving openings and a plurality of clot engaging regions. The clot engaging regions are adapted, on engagement with clot, to urge clot towards the clot receiving openings and into the reception space between the outer elongate body and the inner elongate body, wherein the radial force profile of the device varies along the length of the device.

Abstract: Systems, methods, and computer-readable media are disclosed for an enhanced valet mode for vehicles. An example method may include receiving a request to enter a valet mode of the vehicle. The example method may also include enabling the valet mode of the vehicle. The example method may also include disabling, based on the valet mode of the vehicle being enabled, a secure idle mode of the vehicle, wherein the secure idle mode of the vehicle includes locking a gear shifter of the vehicle in a park position when an occupant of the vehicle is outside of a cabin of the vehicle.

Abstract: The present invention relates to a vehicle license plate that is designed to be affixed to the inside of a vehicle's windshield. Specifically, the front license plate of a vehicle is created as a sticker number plate, which includes a sticker seal and may also have the identification code and vehicle identification number printed on it. This sticker number plate is attached to the inside of the vehicle windshield by an adhesive portion.

Abstract: Systems, methods, and computer-readable media are disclosed for an enhanced valet mode for vehicles. An example method may include receiving a request to enter a valet mode of the vehicle. The example method may also include enabling the valet mode of the vehicle. The example method may also include disabling, based on the valet mode of the vehicle being enabled, a secure idle mode of the vehicle, wherein the secure idle mode of the vehicle includes locking a gear shifter of the vehicle in a park position when an occupant of the vehicle is outside of a cabin of the vehicle.

Abstract: A clot retrieval device for removing occlusive clot from a blood vessel. The device comprises an inner elongate body having a collapsed delivery configuration and an expanded deployed configuration. An outer elongate body is at least partially overlying the inner elongate body. The outer elongate body is expandable to a radial extent which is greater than the radial extent of the inner body in the deployed configuration to define a clot reception space. The outer elongate body has a plurality of clot receiving openings and a plurality of clot engaging regions. The clot engaging regions are adapted, on engagement with clot, to urge clot towards the clot receiving openings and into the reception space between the outer elongate body and the inner elongate body, wherein the radial force profile of the device varies along the length of the device.

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: 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.