Abstract: A kit of parts (2) for a display crate (4) for protecting and displaying a pair of sneakers, the kit comprising a plurality of individual panels for adhesive-free, tool-free, snap-fit assembly together to form a self-supporting, stackable, rigid crate, the kit comprising: (i) a base panel (6) having a front edge (18), a rear edge (20) and two side edges (22, 24) extending between the front and rear edges, the front edge having a first hinge fitting; (ii) a front door panel (26) having a second hinge fitting (28), the first and second hinge fittings being adapted to be coupled together thereby hingedly to fit a lower edge (30) of the front door panel to the front edge of the base panel; (iii) a pair of side panels (46, 48), each side panel having a lower edge (50, 52) adapted to be snap-fitted to a respective one of the side edges of the base panel, each side panel having a rear edge (54, 56) and an upper edge (58, 60); (iv) a rear panel (62), the rear panel having a lower edge (63) adapted to be snap-fitted t

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: Some embodiments include methods for customizing operation of the robotic vehicle for an operator. Such embodiments may include identifying a current operator of the robotic vehicle, configuring the robotic vehicle based on metadata associated with an operator profile for the operator, determining whether the operator has changed, and if so, identifying the new operator, deriving updated preference-based settings and performance-based settings for the new operator, and updating configurations of the robotic vehicle accordingly.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: obtaining images collected by video cameras in a smart home environment, each image including a detected person; for each image, obtaining first information that identifies an attribute of the detected person, the first information generated from analysis of the image; grouping the images into a first group of a plurality of groups based on the first information, each group of the plurality of groups representing a unique person; receiving a request to remove a first image from the first group; removing the first image from the first group; and disassociating the first information from the first group.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, first information of the detected person(s); (4) determining, based on the first information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the first information; and (b) requesting a user to classify the first person; and (6) in accordance with a determination that a response was received classifying the first person as a stranger, deleting the stored first information.

Abstract: The present invention relates to a stable, non-aqueous liquid, formulation consisting essentially of melphalan, or a pharmaceutical acceptable salt thereof; and one or more solvents selected from group consisting of dimethyl acetamide, polyethylene glycol, ethanol, propylene glycol, dimethyl sulfoxide, N-methylpyrrolidone and glycerol; wherein said formulation is free of antioxidants, organic acid and added chloride ions; and the process for preparation thereof.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining images collected by video cameras in a smart home environment, each image including a detected person; (2) for each image, obtaining personally identifiable information of the detected person, the personally identifiable information generated from analysis of the image; (3) grouping the images into a first group of a plurality of groups based on the personally identifiable information, each group of the plurality of groups representing a unique person; (4) receiving from a user a request to remove a first image from the first group; and (5) in response to the request: (a) removing the first image from the first group; and (b) disassociating the corresponding personally identifiable information from the first group.

Abstract: A corrugated construction element (100) for drywall and ceiling construction is disclosed. The corrugated construction element (100) comprises a base profile (101) connected to at least one leg profile (102a) or (102b). The base profile (101) and/or at least one leg profile (102a) or (102b) comprise an array of angular corrugations (110) extending across their surface in a non-parallel direction to the principal axis L of the corrugated construction element (100). The disclosure also relates to an apparatus and a method for forming a corrugated profile (770).

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, first information of the detected person(s); (4) determining, based on the first information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the first information; and (b) requesting a user to classify the first person; and (6) in accordance with a determination that a response was received classifying the first person as a stranger, deleting the stored first information.

Abstract: Methods, systems, and devices for debris permutation are described. A robotic device may identify a cleaning trigger for a first surface region (e.g., a cleaning schedule, a notification from a remote device). The robotic device may activate one or more rotors o based at least in part on the surface cleaning trigger and move to an aerial position proximal to (e.g., above, diagonal to) the first surface region using the one or more rotors. The device may displace debris from the first surface region to a second surface region using a pressurized air stream.

Abstract: Methods, systems, and devices for robotic navigation are described. A robotic device such as a robotic vacuum or a robotic assistant may navigate a first surface. In some cases, navigating the first surface may include removing debris from the first surface. The robotic device may identify a location of a track that connects the first surface to a second surface that is vertically displaced from the first surface. The robotic device may engage the track based at least in part on the identified location. The robotic device may ascend to the second surface by activating an actuator and navigate the second surface (e.g., may remove debris from the second surface, may map the second surface, etc.).

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.

Abstract: Various embodiments include methods for performing temperature calibration of a first temperature sensitive unit with an electronic device having a first processing unit that is thermally coupled to the first temperature sensitive unit. Various embodiments may include determining a current temperature of the first temperature sensitive unit, determining a processing load for the first processing unit based on the current temperature and a target temperature, applying the determined processing load to the first processing unit to vary a temperature of the first temperature sensitive unit, and determining a temperature bias for the first temperature sensitive unit at the temperature of the first temperature sensitive unit based on an output of the first temperature sensitive unit.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) obtaining a video feed, the video feed comprising a plurality of images; and, (2) for each image, analyzing the image to determine whether the image includes a person, the analyzing including: (a) determining that the image includes a potential instance of a person by analyzing the image at a first resolution; (b) in accordance with the determination that the image includes the potential instance, denoting a region around the potential instance; (c) determining whether the region includes an instance of the person by analyzing the region at a second resolution, greater than the first resolution; and (d) in accordance with a determination that the region includes the instance of the person, determining that the image includes the person.

Abstract: A systems, method, and apparatus to improve connections within a healthcare ecosystem are provided. Example systems, methods, and apparatus can facilitate dynamic interface definition and configuration.

Abstract: The feasibility of performing hydraulic fracturing can be assessed by analyzing the effect of skin on the overall deliverability of a reservoir. Aspects of the disclosure provide a method to determine equivalent skin in hydraulic fractured system through a semi analytical correlation obtained by numerical modeling. Two 3D models are considered: a base case without fracture and a complex case with fractures. The base case is simulated by varying matrix permeabilities while the fractured model is run with different sets of varying fracture's lengths, widths, and permeability as well as matrix permeabilities. The two cases are comparatively analyzed and skin is determined. A generalized correlation for determination of skin is derived through application of multivariate regression technique on obtained skins and their corresponding variables.

Abstract: A charging station for a robotic vehicle includes a base configured for use on a body of water; a docking terminal supported on the base, the docking terminal including a charger configured to charge a robotic vehicle docked on the docking terminal; and a renewable energy harvesting device coupled to the charger to provide power to the charger.