Abstract: Systems and methods are described for establishing Proof of Location for a computing device (which may serve as Proof of Location for a user of the device). In some examples, establishing Proof of Location involves trackable features findable by the device at the location in question. In some examples, the computing device is configured to generate a point cloud of a trackable feature for comparison to a reference point cloud. Anti-spoofing methods are described for reducing the possibility of accidental or intentional false-positive Proof of Location results.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: The disclosure provides alarm module devices such as a wearable article including a base portion and an upper portion covering the base portion, wherein the base portion and the upper portion cooperating to define a compartment. The device can further include at least one acoustical transducer, and a printed circuit board (or other suitable activation circuitry) disposed in the compartment including circuitry for actuating the at least one acoustical transducer. The device can further include a power source in selective electrical communication with the at least one acoustical transducer by way of the printed circuit board.

Abstract: An innovation market is described. An apparatus may comprise an innovation market subsystem arranged to manage an innovation marketplace for the exchange of virtual shares in a project for virtual currency to measure project value. The innovation market subsystem may comprise an innovator manager module operative to allocate virtual shares to a project. The innovation market subsystem may also comprise an innovation exchange module communicatively coupled to the project manager module, the innovation exchange module operative to exchange virtual shares for virtual currency at a virtual market price. The innovation market subsystem may further comprise a price generator module communicatively coupled to the innovation exchange module, the price generator module operative to modify the virtual market price for the project based on the exchange.

Abstract: An overhead track screen door system for garages has generally parallel screen door tracks spaced inward and downward from those of an overhead garage door. The overhead track screen door has articulated hinged, screened frames having rollers mounted at each end which travel in tracks between a horizontal overhead open position and a closed position spaced inward from the overhead garage door. The overhead door tracks and overhead screen door tracks are mounted to common vertical mounting plates at each side of the garage entrance. A horizontal resilient wipe seal is mounted on the interior side of the outer door lower panel sealing between the outer door and the inner screen door against insects. The lower inner screen door tracks are angled inward at an acute angle relative to the lower outer door tracks to ease opening of the inner screen door. The screen door has a locking latch system.

Abstract: In a computerized database system, a query is formulated to retrieve data from the database by interactively identifying at least one table containing query data, and at least one column and at least one row in the identified table containing the query data. The rows are interactively identified using a condition statement. The condition statement is interactively formulated using at least one displayed flowline. Input is received from the user specifying a position on the flowline for insertion of a predicate and the predicate. The flowline is displayed with the predicate inserted in the specified location. The predicates are displayed on the flowline in between nodes. Predicates on the same flowline are combined through a logical AND operation. Predicates on different flowlines between the same nodes are combined through a logical OR operation. The flowline is converted to a corresponding Boolean algebra statement and displayed.

Abstract: In producing a composite yarn which includes a carrier strand and a layer of tacky polymer, provision is made for adjusting the position of a tube through which the carrier strand passes in relation to a polymer extrusion orifice to vary the annular thickness of the polymer layer.