Abstract: A network management platform can include a configuration management database (CMDB), an IP address management (IPAM) network device, a network security platform, and a software-defined wide area network (SDWAN). The CMDB can be configured to store configuration data of endpoint devices. The IPAM can allocate IP addresses within the network. The network security platform can be configured to enforce policies and/or manage endpoint access. The SDWAN can be utilized to configure and/or control the endpoint devices.

Abstract: An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

Abstract: An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

Abstract: An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

Abstract: A method and system can generate video content from a video. The method and system can include a coordinator, an image detector, and an object recognizer. The coordinator can be communicatively coupled to a splitter and/or to a plurality of demultiplexer nodes. The splitter can be configured to segment the video. The demultiplexer nodes can be configured to extract audio files from the video and/or to extract still frame images from the video. The image detector can be configured to detect images of objects in the still frame images. The object recognizer can be configured to compare an image of an object to a fractal. The recognizer can be further configured to update the fractal with the image. The coordinator can be configured to embed metadata about the object into the video.

Abstract: A method and system can generate video content from a video. The method and system can include a coordinator, an image detector, and an object recognizer. The coordinator can be communicatively coupled to a splitter and/or to a plurality of demultiplexer nodes. The splitter can be configured to segment the video. The demultiplexer nodes can be configured to extract audio files from the video and/or to extract still frame images from the video. The image detector can be configured to detect images of objects in the still frame images. The object recognizer can be configured to compare an image of an object to a fractal. The recognizer can be further configured to update the fractal with the image. The coordinator can be configured to embed metadata about the object into the video.

Abstract: The integrated personalized content recommendation and management system aggregates content across multiple third-party websites and applications to be presented to said user based to generate personalized content recommendations. The system utilizes a unique profile associated with a particular user to generate the personalized content recommendations, and additionally, the system may seamlessly propagate the user's profile across multiple third-party websites and applications, and build social instructions based on the user's profile. The integrated personalization content recommendation and management system and method may provide an online recommendation and social networking service that delivers to users personalized content, social and/or product recommendations derived from participating electronic mediums (e.g. web sites, applications and mobile devices).

Abstract: A method and system can generate video content from a video. The method and system can include generating audio files and image files from the video, distributing the audio files and the image files across a plurality of processors and processing the audio files and the image files in parallel. The audio files associated with the video to text and the image files associated with the video to video content can be converted. The text and the video content can be cross-referenced with the video.

Abstract: The present invention provides a system that provides and extends wireless RF signals to any distance location beyond the normal transmission/broadcast of cellular tower utilizing a existing network. The system provides wireless communication carried by wire lines for communication and testing between remote locations in real-time.