According to one or more embodiments, an interaction device is provided. The interaction device includes processing circuitry configured to render for display a first premises security video comprising a plurality of frames, determine a user interaction with a playback of the first premises security video, determine a plurality of logical weights associated with the plurality of frames based at least on the user interaction, train a machine learning model based at least on the plurality of logical weights, and perform a premises security system action based at least on the trained machine learning model.

A smart home system such a smart security system includes at least one controlled module capable of performing monitoring and/or control functions, and a controller that is in communication with the controlled module and a user device such as a smart phone or computer tablet. The system is operable to configure the user device with a first set of user interfaces and control functionalities in response to selection of a first operating mode, and to configure the user device with a second set of user interfaces and control functionalities in response to selection of a second operating mode. The first mode may be a master-controller mode in which the user device's graphics are displayed in portrait orientation, and the second mode may be a panel mode in which the user device's graphics are displayed in landscape orientation.

Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

Customizable intrusion zones for audio/video (A/V) recording and communication devices in accordance with various embodiments of the present disclosure are provided. In one embodiment, a method for an A/V recording and communication device is provided, the method comprising displaying, on a display of the computing device, a user interface for creating and/or customizing at least one intrusion zone, wherein the at least one intrusion zone comprises at least one motion zone within a field of view of the A/V recording and communication device coupled with at least one conditional setting of the at least one motion zone, determining whether an input has been received to establish a new conditional setting, or to change a previous conditional setting, determining whether an input has been received to save the new conditional setting or to save the changed conditional setting, and saving the new conditional setting or the changed conditional setting.

Disclosed herein are apparatuses and methods for managing collaborations in an operation control center. An implementation may comprise identifying, using at least one sensor, a plurality of persons in an operation control center comprising a display device. The implementation may comprise retrieving, from memory, user profiles of a first person and a second person, wherein the user profiles respectively indicate security access rights and responsibilities of the first person and the second person and determining locations of the first person and the second person in the operation control center. The implementation may comprise allocating, on the display device, a first display area to the first person and a second display area to the second person based on the locations, the security access rights, and the responsibilities. The implementation may comprising notifying the first person or the second person of a security event on a display area.

Methods and systems for managing a premises are disclosed. The premises may comprise a premises management device. The premises management device may be in communication with a security system. The premises management device may manage consumption by maintaining or disabling components associated with the premise management device.

This application is directed to systems and techniques for configuring audio/video devices in a geographical area. For instance, a graphical user interface (GUI) may include a representation of the area as well as representations of devices installed in the area. Using the GUI, a user may associate devices to copy device settings and/or preferences from one device to another. For example, a newly-installed device can be provisioned and/or configured using data from another, previously-installed device.

Embodiments include systems and methods comprising a gateway located at a premise forming at least one network on the premise that includes a plurality of premise devices. A sensor user interface (SUI) is coupled to the gateway and presented to a user via a remote device. The SUI includes at least one display element. The at least one display element includes a floor plan display that represents at least one floor of the premise. The floor plan display visually and separately indicates a location and a current state of each premise device of the plurality of premise devices.

A computer-implemented method of generating a video stream recommendation comprises identifying a plurality of peripheral devices monitoring zones of a physical area, the peripheral devices comprising a plurality of video cameras providing video streams of at least some of the monitored zones. The method further comprises querying a knowledge graph representing the peripheral devices and the monitored zones as ontology entities connected by edges representing physical paths between the monitored zones, and by edges representing which monitored zones the peripheral devices monitor, in order to identify a set of one or more video camera(s) monitoring zones other than a selected monitored zone, as a result of the querying. The method then comprises generating a video stream recommendation based on the result of the querying.

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement video surveillance with neural networks are disclosed. Example systems disclosed herein include a database to store records of operator-labeled video segments (e.g., as records of operator-labeled video segments). The operator-labeled video segments include reference video segments and corresponding reference event labels describing the video segments. Disclosed example systems also include a neural network including a first instance of an inference engine, and a training engine to train the first instance of the inference engine based on a training set of the operator-labeled video segments obtained from the database, the first instance of the inference engine to infer events from the operator-labeled video segments included in the training set. Disclosed example systems further include a second instance of the inference engine to infer events from monitored video feeds, the second instance of the inference engine being based on the first instance of the inference engine.