Abstract: There is provided a method of workflow assignment, including: identifying an actionable event; determining a plurality of tasks for the actionable event; determining, for each of the plurality of tasks, one or more task parameters related to the task; and generating, for the actionable event, a workflow for each of one or more individuals to perform at least one of the plurality of tasks based on the one or more task parameters. There is also provided a corresponding system for workflow assignment.

Abstract: Systems and methods to automate both emergency identification and emergency response to minimize response time while optimizing the dispatching of different types of first responders are provided. The system may include an automation system. The automation system may receive a plurality of data elements from a plurality of sensors. The automation system may extract a set of features from the plurality of data elements. The automation system may identify an emergency situation based on the set of features and a set of rules. The automation system may assess the priority of the emergency situation based on a set of data elements associated with the emergency situation and a set of policies. The automation system may select a responder in response to the identified emergency situation. The automation system may dispatch the selected responder to an area related to the identified emergency situation.

Abstract: Systems and methods to automate both emergency identification and emergency response to minimize response time while optimizing the dispatching of different types of first responders are provided. The system may include an automation system. The automation system may receive a plurality of data elements from a plurality of sensors. The automation system may extract a set of features from the plurality of data elements. The automation system may identify an emergency situation based on the set of features and a set of rules. The automation system may assess the priority of the emergency situation based on a set of data elements associated with the emergency situation and a set of policies. The automation system may select a responder in response to the identified emergency situation. The automation system may dispatch the selected responder to an area related to the identified emergency situation.

Abstract: In some examples, a video analysis framework receives one or more video streams including a plurality of video frames. The framework may perform region detection on the frames, and may perform feature detection/extraction on the regions. Based on the extracted features, the individual video frames may be sent to particular pipelines of a plurality of pipelines designated for performing different video analysis tasks. The framework may determine respective indexed profiles to associate with particular detected regions for indexing the individual video frames or regions thereof. In some cases, resources may be allocated among the pipelines based on a priority definition. For instance, the priorities in the priority definition may be updated dynamically based on context of the received frames. Further, a log of recent video analysis results may be maintained to enable indexing, annotation, augmentation, and searching for related content without having to access information in a storage system.

Abstract: Real-time image processing and annotation of video streams is provided by a system of plural processors and memory storing executable instructions to cause the processors to execute real-time processing. Different regions are set for frames of the video stream which define objects therein based on the context or content thereof. Skipping intervals are set for each region. Frames are individually selected from the video stream according to each skipping interval of each region. Specific regions are separately processed by different processors in the selected frames which are separated at intervals within the video stream by the frame skipping values. The processing of the regions identifies objects therein and stores descriptions of the objects in an index to facilitate searching of the video content. The activity of the objects in the video stream further cause the frame skipping levels to change thereby causing selected individual frames to be dynamically processed.

Abstract: In some examples, a video analysis framework receives one or more video streams including a plurality of video frames. The framework may perform region detection on the frames, and may perform feature detection/extraction on the regions. Based on the extracted features, the individual video frames may be sent to particular pipelines of a plurality of pipelines designated for performing different video analysis tasks. The framework may determine respective indexed profiles to associate with particular detected regions for indexing the individual video frames or regions thereof. In some cases, resources may be allocated among the pipelines based on a priority definition. For instance, the priorities in the priority definition may be updated dynamically based on context of the received frames. Further, a log of recent video analysis results may be maintained to enable indexing, annotation, augmentation, and searching for related content without having to access information in a storage system.