Abstract: Apparatus and associated methods relate to a network hub receiving from a video source video frames selected as a function of a video characteristic, determining a degree of interest of the selected video frames predicted as a function of artificial intelligence configured in the network hub, and automatically governing the video source operating parameters based on the degree of interest. In an illustrative example, the video source may be a camera. The video characteristic may be, for example, motion. In various implementations, video frames received by the network hub may be selected based on motion detection, and the video source may be, for example, a camera configured to detect motion in video frames captured by the camera. Various examples may advantageously provide improved camera power management, for example, using the degree of interest predicted by the artificial intelligence configured in the network hub to govern operational parameters of the camera.

Abstract: Apparatus and associated methods relate to transmitting video frames selected by a camera based on detected motion to a network hub configured with an artificial intelligence adapted to predict a region of interest within the selected video frames, configuring the camera with the region of interest predicted by the hub, and managing the energy consumption of the camera based on automatically governing camera operational parameters adapted as a function of the region of interest. In an illustrative example, the camera may be a battery-powered camera. In some embodiments, the camera may be configured in a low power mode with wireless interfaces off. In various implementations, the camera may be configured to detect motion within a region of interest and ignore motion elsewhere. Various examples may advantageously provide improved camera power management based on governing the camera operational parameters as a function of detected motion and the configured region of interest.