Abstract: The instant disclosure generally relates to lubricating compositions having an oil of lubricating viscosity, a mixture of boron-containing and boron-free dispersants, an overbased magnesium-based detergent, an overbased calcium-based detergent, a molybdenum-containing material, and, optionally, other performance additives. The instant lubricating compositions may improve one or more of cleanliness, TBN retention, fuel economy and low-speed preignition (“LSPI”).

Abstract: A wearable augmented reality (AR) device (e.g., virtual reality (VR), mixed reality (MR) device is disclosed. The wearable device communicates with a system for volume dimensioning via two-dimensional (2D)/three-dimensional (3D) sensor fusion. The AR device display to the user a two-dimensional (2D) image stream of a field of view (FOV) including target objects and 3D imaging data of the FOV including point clouds of each target object within the FOV. Target objects are identified by correlating the 2D and 3D image streams and generating a holographic model of the target object overlaid on the video stream, with adjustable surface, edge, and vertex guides. Precise dimensions and unique object identifiers of the target object are determined and decoded and displayed to the user via the wearable device; the user may manipulate or adjust the display via gestures or commands detectable by the wearable device.

Abstract: A system for volume dimensioning via two-dimensional (2D)/three-dimensional (3D) sensor fusion, based in a tablet, phablet, or like mobile device, is disclosed. The mobile device includes a 2D imager for capturing an image stream of its field of view (FOV), the FOV including target objects. The mobile device includes a 3D imager for collecting 3D imaging data of the FOV including point clouds of each target object within the FOV. Processors of the mobile device positively identify a particular target object by correlating the 2D and 3D image streams and generating a holographic model of the target object overlaid on the video stream, with adjustable surface, edge, and vertex guides. The processors determine the precise dimensions of the target object by measuring the holographic model, and detect and decode object identifiers (2D or 3D) on the surface of the target object to acquire and supplement object data.

Abstract: Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. The UAV includes an onboard camera to capture/stream multiple images. The camera captures reference images of a subject to be stored in memory; the reference images may portray gestures performed by the subject and associated with specific command procedures. The camera may capture subsequent images portraying the subject; the control system may, based on cascade recognition, identify the subject and a stored gesture to a determined confidence level. Once the subject and gesture are positively identified, the control system and/or propulsion system of the UAV may execute the associated command procedures to change the position, velocity, or heading of the UAV.

Abstract: A system and related method for tracking a moving subject via a ground-based or airborne peripheral device includes plugging an intelligent camera device to the unmanned vehicle, establishing a peripheral link by which the intelligent camera device can assume control of the unmanned vehicle's control systems. Based on analysis of images captured by the intelligent camera device, in addition to position data associated with the unmanned vehicle or with the subject, the intelligent camera device may autonomously maneuver the unmanned vehicle to track or follow the subject while maintaining the moving subject in a consistent framing orientation.

Abstract: A system and related methods for volume dimensioning may be implemented by a smartphone, pad, tablet, or similar mobile computing device configured with a three-dimensional imaging system. The system may recognize the edges and corners of an object and infer its dimensions, from which a volume and dimensional weight can be calculated. The system may utilize the determined dimensions to allocate shipping resources to most efficiently and safely transport a shipment through a supply chain, assess damage to an object, assess the compliance of carry-on baggage to size requirements, and quickly assess the stocking of a retailer's and a competitor's products.

Abstract: An action camera system for an unmanned aerial vehicle (UAV) selects a target based on a reference image captured by an onboard camera. Image processing determines a desired orientation of the target to the UAV, by which the UAV can track the target and provide streaming video images from the desired orientation. Image processing establishes a visual lock on the target and controls the UAV to maintain the desired orientation while capturing streaming images. Additional position data provided by sensors aboard a smartphone carried by the target enhances the tracking ability of the action camera system and enables predictive analysis of the target's future position. The action camera system may additionally provide preselected modes of operation that control UAV movement and image capture depending on the user's desired objectives.

Abstract: Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. An unmanned aerial vehicle (UAV) includes an onboard camera to capture/stream multiple images. An onboard visual recognition module isolates image elements by analyzing the captured images, and determines whether the image elements correspond or do not correspond to the subject. Current image elements corresponding to a subject are stored in a positive database, and non-corresponding current image elements are stored in a negative database. An onboard subject tracking module defines the chosen subject, determines attributes of the subject based on comparisons of image elements, and follows the subject by directing the attitude control system to adjust the velocity and orientation of the UAV based on the determined attributes.

Abstract: An unmanned aerial vehicle (UAV) may select a subject to track or follow and capture images including the subject. A visual recognition system of the UAV may generate a profile of reference images portraying the subject breaking the reference images down into pixel sets corresponding to the subject and his/her components and distinguishing characteristics (body parts, clothing, facial features, accessories). The visual recognition system may break the incoming stream of incoming images into pixel sets, analyzing the pixel sets to distinguish the subject from his/her surroundings (i.e., in a crowd) and determine movement of the subject and the current orientation of the UAV to the subject. The UAV may then change its heading, velocity, or position based on any difference between the current orientation and the desired or predetermined orientation between the UAV and the subject.

Abstract: An action camera system for an unmanned aerial vehicle (UAV) selects a target based on a reference image captured by an onboard camera. Image processing determines a desired orientation of the target to the UAV, by which the UAV can track the target and provide streaming video images from the desired orientation. Image processing establishes a visual lock on the target and controls the UAV to maintain the desired orientation while capturing streaming images. Additional position data provided by sensors aboard a smartphone carried by the target enhances the tracking ability of the action camera system and enables predictive analysis of the target's future position. The action camera system may additionally provide preselected modes of operation that control UAV movement and image capture depending on the user's desired objectives.

Abstract: Disclosed are exemplary embodiments of audiovisual systems and related methods. In an exemplary embodiment, an audiovisual system generally includes an antenna box configured for wired connection with an over-the-air (OTA) antenna. The antenna box is operable to process OTA signals received from the OTA antenna and to wirelessly transmit the processed signals, via one or more wireless-capable devices remote from the antenna box, for play as audiovisual content on one or more display devices remote from the antenna box.

Abstract: A random number generation apparatus comprising a device configured to carry out an operation; a timer for timing how long it takes the device to carry out the operation; and a memory for storing the time to carry out the operation; the random number being generated based on the determination of the time taken to carry out the operation.

Abstract: Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. An unmanned aerial vehicle (UAV) includes an onboard camera to capture/stream multiple images. An onboard visual recognition module isolates image elements by analyzing the captured images, and determines whether the image elements correspond or do not correspond to the subject. Current image elements corresponding to a subject are stored in a positive database, and non-corresponding current image elements are stored in a negative database. An onboard subject tracking module defines the chosen subject, determines attributes of the subject based on comparisons of image elements, and follows the subject by directing the attitude control system to adjust the velocity and orientation of the UAV based on the determined attributes.

Abstract: A system and method for power management aboard an unmanned aerial vehicle (UAV) configured to follow a subject based on images captured by an onboard camera includes a power monitor that determines if available power from the UAV's onboard batteries has dropped below predetermined thresholds. If a low power level is detected, the power management system may divert power from non-essential systems to the attitude control system to keeping the UAV aloft. If a critical power level is detected, the power management system may shut down other UAV subsystems so that the attitude control system can safely land the UAV. The power management system may send an alert to a smartphone or other device carried by the subject. Position sensors of the subject's device may be used to interpolate the position of the UAV based on the subject's own position for recovery of the UAV.

Abstract: Systems and methods for simultaneously capturing live audio and video feeds and reducing motor/rotor noise associated with the video feed for a multirotor unmanned aerial vehicle (UAV). Noise reduction occurs in real time or near real time as one or more frequencies associated with a motor, rotor, or attitude of the UAV are recognized, subtracted and/or dithered from the audio feed, resulting in one or more correction signals. The one or more correction signals may be dynamically summed in order to generate a corrected audio feed for transmission.

Abstract: An unmanned aerial vehicle (UAV) may select a subject to track or follow and capture images including the subject. A visual recognition system of the UAV may generate a profile of reference images portraying the subject breaking the reference images down into pixel sets corresponding to the subject and his/her components and distinguishing characteristics (body parts, clothing, facial features, accessories). The visual recognition system may break the incoming stream of incoming images into pixel sets, analyzing the pixel sets to distinguish the subject from his/her surroundings (i.e., in a crowd) and determine movement of the subject and the current orientation of the UAV to the subject. The UAV may then change its heading, velocity, or position based on any difference between the current orientation and the desired or predetermined orientation between the UAV and the subject.

Abstract: A card management system architecture for managed startup of a system and for monitoring its operation is provided. Both a method and device particularly suited to carrying out the method are provided. According to one embodiment of the method, a second controller evaluates the status of power supplies and then powers up a first controller and processors on input-output processors (IOPs). The first controller evaluates the status of individual IOPs and enables additional power and data interfaces. Additional embodiments involve additional structures and steps. Redundant channels for communications among controllers and IOPs are preferred. In one embodiment, the first bus is implemented as five serial communication lines. Communication between redundant first controllers and between redundant second controllers allows determination of which controllers should be active.