Abstract:
An apparatus is described for selectively depositing a continuous stripe of one type of material on a strip of another type of material as the strip is transported through the apparatus on a path of spaced rails. The rails are provided for supporting the strip along its lateral edges. A weight or pressure in the form of a movable member is carried on the strip between tape-guiding means for forming a fluid-tight seal between the lateral edges of the strip and the rails. A plurality of fluid jets are provided in a line between the rails for jetting fluid against the strip. At opposite ends of the line of jets there is provided at least one fluid jet for jetting fluid inwardly against the back-spray of fluid from the strip for preventing the escape of spent fluid from between the rails and preventing plating in unwanted areas. Means are also provided for changing the width and position of the stripe on the strip by changing the relative position of the rails and strip-guiding means. For the electrodeposition of metal stripes, an electrode in the form of a wire mesh screen is employed between the jets and strip with means provided for providing an electrical potential between the screen and the strip.
Abstract:
A system and method of acquiring information from an image of a vehicle in real time wherein at least one imaging device with advanced light metering capabilities is placed aboard a unmanned aerial vehicle, a computer processor means is provided to control the imaging device and the advanced light metering capabilities, the advanced light metering capabilities are used to capture an image of at least a portion of the unmanned aerial vehicle, and image recognition algorithms are used to identify the current state or position of the corresponding portion of the unmanned aerial vehicle.
Abstract:
A system and method of acquiring information from an image of a vehicle in real time wherein at least one imaging device with advanced light metering capabilities is placed aboard a vehicle, a computer processor means is provided to control the imaging device and the advanced light metering capabilities, the advanced light metering capabilities are used to capture an image of at least a portion of the vehicle, and image recognition algorithms are used to identify the current state or position of the corresponding portion of the vehicle.
Abstract:
A heading determination system comprises an inertial measurement unit (IMU) coupled with at least two GNSS receivers, each receiver paired with and receiving signals from a corresponding GNSS antenna, wherein the GNSS antennas are separated by an ultra-short baseline. The heading determination system receives signals broadcast by a plurality of GNSS satellites and calculates the phase difference in the signal seen among the separate GNSS antennas. Using this phase difference information, derived from comparing the signals received from a plurality of GNSS satellites, along with attitude data generated by the IMU, the heading determination system calculates a highly-accurate heading solution. A method is provided for determining a heading of a system including an IMU coupled with at least two GNSS receivers, with each receiver being paired with and receiving signals from a corresponding GNSS antenna and the antennas being separated by an ultra-short baseline.
Abstract:
A system and method of acquiring information from an image of a vehicle in real time wherein at least one imaging device with advanced light metering capabilities is placed aboard a vehicle, a computer processor means is provided to control the imaging device and the advanced light metering capabilities, the advanced light metering capabilities are used to capture an image of at least a portion of the vehicle, and image recognition algorithms are used to identify the current state or position of the corresponding portion of the vehicle.
Abstract:
In one aspect, a programmable load forming system is programmed to perform the method of downloading a calculated path from the computer to the robot controller, moving one or more bundles along the calculated path to position the one or more bundles in a predetermined stacking position of a stacking pattern using the robot, and determining if the robot has completed moving along the calculated path. The calculated path is defined, in part, by the stacking pattern and other parameters such as, for example, bundle geometry, bundle levelness, bundle compressibility, among other parameters. In another aspect, the system is programmed to perform a method of sensing the top of a bundle and controllably placing a bundle. Additional aspects are directed to systems and methods of safely operating the robot and an inventive hopper design for holding bottom/tie sheets.
Abstract:
The present invention presents a flight training and synthetic visualization system, which comprises a fully mobile, self-contained data recording unit including a desktop graphics software engine for creating a virtual model of the flight capable of playing back the recorded trip, synchronized with a real-time video or imagery recording of the actual flight with a view from the cockpit of the aircraft as a pilot would actually view the flight, along with ambient audio of the cockpit. This allows for the user of the simulation to view both modeled data of the flight, as well as actual time-sequenced still images or video of the flight. The two sources of data are synched in time so that real video images of the aircraft as it is flying at a specific point in time is displayed in the simulation at the same moment as the rendered visualization of the flight.
Abstract:
A system and method of acquiring information from an image of an instrument panel of a vehicle in real time wherein at least one imaging device with advanced light metering capabilities is placed aboard a vehicle, a computer processor means is provided to control the imaging device and the advanced light metering capabilities, the advanced light metering capabilities are used to capture an image of at least a portion of the instrument panel, such as a gauge or operator control, and image recognition algorithms are used to identify the current state of the imaged portion of the instrument panel.