Abstract: This document describes systems and techniques for an enhanced video-playback interface. In aspects, a first region displays a first set of images including at least one image, a horizontal timeline, and a horizontal time indicator configured to transition with respect to the horizontal timeline. A second region displays a vertical timeline and a vertical time indicator on the vertical timeline configured to transition with respect to the vertical time indicator. The horizontal time indicator or the vertical timeline can be transitioned with respect to the horizontal timeline or the vertical time indicator, respectively, causing the first region to display a second set of images. In this way, the enhanced video-playback interface can provide an overview of events captured by a camera and enable low-resolution or high-resolution scrubbing through images in sets of image data.

Abstract: This document describes systems and techniques for a customizable user interface for a device management system. In aspects, a user interface of a device management system includes one or more widgets grouped by at least one category. Each widget of the one or more widgets is associated with at least one network-connected device and is configured to provide at least one of an action functionality, an automation functionality, or image data. Widgets can be organized within spaces to enhance user experience.

Abstract: Aspects concern a method for predicting a path taken by a vehicle for a transport task comprising obtaining training data specifying paths taken, representing a set of valid paths as a Boolean formula, converting the Boolean formula into an OBBD[?] comprising, for each variable of a set of variables on which the Boolean formula operates, a decision node representing the variable, wherein the decision node has, for each assignment of a value to the variable represented by the decision node, an outgoing edge associated with the value, augmenting each outgoing edge of each decision node with a probability depending on the number of times the location represented by the decision node was visited in the paths specified by the training data elements and predicting a path for a given transport task by sampling an assignment of values to the variables by traversing the OBBD[?].