Abstract:
A pivot system for use with a stowage bin system in a mobile platform (for example, a commercial aircraft) is provided, where the pivot system enables electrical communication between structure pivotally supporting the bin, and electrical components on the bin. The pivot system includes a pivot boss including an engagement extension and a race assembly including a socket. The socket of the race assembly is for receipt of the engagement extension to couple the pivot boss to the race assembly. The pivot system further includes at least one conductor coupled to at least one of the pivot boss and race assembly to enable electrical communication between the pivot base and the race assembly. The system, thus, enables electrical communication between the pivot boss and the race assembly without requiring external wiring.
Abstract:
An apparatus and method for detecting wireless local area network (WLAN) signals scans an area for radio-wave signals that meet IEEE802.11a, 802.11b, and 802.11g standards, and converts any detected radio-wave signal into a received signal strength indicator (RSSI) data, which is stored, recorded, and compared by a control unit with WLAN properties to determine whether there is a WLAN set up in the scanned area, or bearings and strength of any detected WLAN signal, making the detection highly discriminating and sensitive.
Abstract:
A mist delivery system includes an enclosure having at least one misting nozzle coupled thereto. The enclosure includes a primary wall and a secondary wall, whereby an air channel is defined between the primary wall and the secondary wall. A controller directs misted air through the misting nozzle and further activates an air flow system such that misted air within the shower area flows through and is dried in the air channel.
Abstract:
Systems and methods for performance testing software using computer vision. Systems can include a performance testing computer vision system and a computer vision-based performance testbed system. Methods can include generating a computer vision-based testing package and performance testing software in one or more testing environments on at least one virtualized testbed machine according to testing constraints using the computer vision-based testing package.
Abstract:
Systems and methods for performance testing software using computer vision. Systems can include a performance testing computer vision system and a computer vision-based performance testbed system. Methods can include generating a computer vision-based testing package and performance testing software in one or more testing environments on at least one virtualized testbed machine according to testing constraints using the computer vision-based testing package.
Abstract:
A color image and a depth image of a live video are received. Each of the color image and the depth image are processed to identify a foreground, background, and an unknown region band of the live video. The unknown region band may comprise pixels between the foreground and the background. Further processing is performed to segment the pixels of the unknown region band between the foreground and the background. As such, processing is performed on the unknown region band in order to provide an improved user foreground video.
Abstract:
A clor image and a depth image of a live video are received. Each of the color image and the depth image are processed to identify the foreground and the background of the live video. The background of the live video is removed in order to create a foreground video that comprises the foreground of the live video. A control input may be received to control the embedding of the foreground video into a second background from a background feed. The background feed may also comprise virtual objects such that the foreground video may interact with the virtual objects.
Abstract:
Systems and methods for performance testing software using computer vision. Systems can include a performance testing computer vision system and a computer vision-based performance testbed system. Methods can include generating a computer vision-based testing package and performance testing software in one or more testing environments on at least one virtualized testbed machine according to testing constraints using the computer vision-based testing package.
Abstract:
Systems and methods for performance testing software using computer vision. Systems can include a performance testing computer vision system and a computer vision-based performance testbed system. Methods can include generating a computer vision-based testing package and performance testing software in one or more testing environments on at least one virtualized testbed machine according to testing constraints using the computer vision-based testing package.
Abstract:
A color image and a depth image of a live video are received. A user is extracted from the information of the color image and the depth image. Spurious depth vales may be corrected. Points or pixels of an image as seen from a viewpoint of a reference camera at a reference camera location are mapped to points of the image as would be seen from a viewpoint of a virtual camera at a virtual camera location. As such, a transformed color image is generated. Disoccluded pixels may be processed to address any gaps within the transformed color image.