Abstract: A video compressor system and device for securement to a drone controller. The device employs a low bandwidth, low latency video compressor, recorder and cellular modem that connect directly to the drone’s handheld receiver. The video compressor high quality live video from the drone’s receiver to be broadcast over a cellular network at low bandwidth rates and with low latency. The small footprint and low power consumption allows the device to be coupled directly to the drone controller, no external tethering to other larger and less mobile devices is required. The streaming video can be viewed live through a decompression sever on video walls, individual PC’s and even handheld mobile devices in the field, which also allows viewers to have complete mobility while maintaining visual connection to the drone video feed.

Abstract: A video compressor system and device for securement to a drone controller. The device employs a low bandwidth, low latency video compressor, recorder and cellular modem that connect directly to the drone's handheld receiver. The video compressor high quality live video from the drone's receiver to be broadcast over a cellular network at low bandwidth rates and with low latency. The small footprint and low power consumption allows the device to be coupled directly to the drone controller, no external tethering to other larger and less mobile devices is required. The streaming video can be viewed live through a decompression sever on video walls, individual PC's and even handheld mobile devices in the field, which also allows viewers to have complete mobility while maintaining visual connection to the drone video feed.

Abstract: A video compressor system and device for securement to a drone controller. The device employs a low bandwidth, low latency video compressor, recorder and cellular modem that connect directly to the drone's handheld receiver. The video compressor high quality live video from the drone's receiver to be broadcast over a cellular network at low bandwidth rates and with low latency. The small footprint and low power consumption allows the device to be coupled directly to the drone controller, no external tethering to other larger and less mobile devices is required. The streaming video can be viewed live through a decompression sever on video walls, individual PC's and even handheld mobile devices in the field, which also allows viewers to have complete mobility while maintaining visual connection to the drone video feed.

Abstract: A bump alignment assembly using at least two input media feeds for use in an imaging device. Two spaced apart media guides form a tunnel-shaped bubble chamber about a media path. Two media feed roll pairs are positioned adjacent to the entrance of the bubble chamber. The width of the entrance to the bubble chamber is equal to or greater than the separation of the feed nips of the two media feed roll pairs allowing two or more media paths to be accommodated without the use of media path extensions. A bump alignment roll pair is adjacent the exit of the bubble chamber. Entry, exit and biasing surface features of the media guides provide for buckling and bubble formation of media being fed into the bubble chamber.

Abstract: A bump alignment assembly using at least two input media feeds for use in an imaging device. Two spaced apart media guides form a tunnel-shaped bubble chamber about a media path. Two media feed roll pairs are positioned adjacent to the entrance of the bubble chamber. The width of the entrance to the bubble chamber is equal to or greater than the separation of the feed nips of the two media feed roll pairs allowing two or more media paths to be accommodated without the use of media path extensions. A bump alignment roll pair is adjacent the exit of the bubble chamber. Entry, exit and biasing surface features of the media guides provide for buckling and bubble formation of media being fed into the bubble chamber.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This processing involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This processing involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This processing involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for generating transaction data using stored rules and identified valid accounting codes. Transaction information is processed as a function of the rules and generated transaction data (e.g., for classifying expenses under generated valid accounting codes). This approach involves, for example, identifying data based rules and valid accounting codes to use in processing received transaction information and in generating/applying accounting codes to the transaction information.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly automatically classified. This processing involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.

Abstract: Accounting data is classified to facilitate transaction processing and management. According to an example embodiment, data based rules are implemented for classifying transaction-related data into accounting categories. Accounting information is processed as a function of the data based rules and accordingly classified. This approach involves, for example, the identification of particular data based rules to apply to the accounting information, applying the rules and processing the information accordingly.