Abstract: Artificial intelligence (AI) models are switched, tuned and retrained. This process may be performed with respect to systems having artificial intelligence engines in connection with video cameras and associated video data streams. An AI model is obtained for a video camera based on, for example, historic video streams from the camera for the past day, week, month, year, or any other time period. The AI model is then modified for the camera after the system obtains, for example, data internal to the video camera, data external to the video camera and data related to objects of interest for the video camera. As the AI model is modified, a processor associated with the system may adopt linear regression algorithms to regress conditions to the modified model and other available models.

Abstract: Segments are generated with respect to images and rules are correlated to the segments. The images may be associated with the field of view of a camera that is used in systems having artificial intelligence engines in connection with video cameras and associated video data streams. A video processor identifies element in a video stream, examples of which include various regions in a view, such as sky, vegetation, buildings, etc. The elements may be identified based on elements that were previously identified for other cameras and can be updated in response to the view changing. Segments are created around the different identified elements. Rules are assigned to the segments. The rules and segments may be stored for later reference when analyzing events within the view of the video camera.

Abstract: Changes in sizes of objects over long periods of time are detected. The objects may be detected in the field of view of a camera that is used in systems having artificial intelligence engines in connection with video cameras and associated video data streams. A video processor identifies different elements in the video stream. Segments are created around the different elements identified. The video processor identifies an algorithm for each segment. An object is identified in the video stream. The video processor uses the created segments and the identified algorithms to detect changes in the object over time.