Abstract: Systems and method are disclosed for detecting an individual and an identifier of a mobile communication device that may be associated with the individual and for generating a message to be delivered to the mobile communication device. The message may include characteristics of the individual to signal knowledge about and information capture on the individual, which can enhance an overall effectiveness of the message. One or more machine-learning models and/or generative artificial intelligence models may be utilized for detecting the individual, determining characteristics, and/or generating an electronic message.

Abstract: Systems and methods are disclosed for detecting, by a computer executing a machine-learning model, a person, and determining, by the computer executing the machine-learning model, that the person is within a first area, in response to determining that the person is within the first area, adjusting, by the computer executing the machine-learning model, a level of monitoring, determining, by the computer executing the machine-learning model, that the person is within a second area, in response to determining that the person is within the second area, executing, by the computer executing the machine-learning model, a deterrence action, wherein the machine-learning model is trained by applying the machine-learning model on historical data.

Abstract: A method may include detecting, by a computer executing a machine-learning model, a vehicle located within an area, detecting, by the computer executing the machine-learning model, a person approaching the vehicle, and, in response to the person approaching the vehicle, executing, by the computer executing the machine-learning model, a deterrence action.

Abstract: A method may include identifying, by a computer executing a machine-learning model, a moveable object located within an area, identifying, by the computer executing the machine-learning model, movement of the object by a person, and in response to the movement of the object by a person, executing, by the computer executing the machine-learning model, a deterrence action.

Abstract: Presented herein are system and methods for generating overlayed sounds to deter perpetration of an event A system can include an image capture device and one or more processors coupled with memory. The system can detect an entity within an area. The system can determine that the entity corresponds to one or more criteria. The system can identify a first sound corresponding to the one or more criteria and a state of the area. The system can play, by a speaker device, the first sound to deter the entity from perpetrating an event within the area. The system can identify a second sound corresponding to the one or more criteria, the state of the area, and the first sound. The system can play, by the speaker device, the second sound to deter the entity from perpetrating the event.

Abstract: Methods, systems, and devices for smart sensing using a security and automation system are described. One method may include receiving, from a sensor, sensor data associated with an event and one or more occupants at a structure, determining a characteristic of the event based on the received sensor data, determining a type of the event based on the characteristic, and identifying an identity of an occupant based at least in part on the characteristic and the type of the event.

Abstract: Methods, systems, and devices for a security and automation system are described. A security and automation device, for example, such as a control panel may be configured to support a continuous active mode for the security and automation system. The continuous active mode may be a mode in which the security and automation system is continuously providing various types of security and automation features, such as monitoring, sensing, communication, notification, among other examples. The continuous active mode may also support active switching between multiple states (e.g., an ‘armed away’ state, an ‘armed stay’ state, and a ‘standby’ state) of the security and automation systems. Thus, irrespective of the different states the security and automation system may be continuously active (e.g., always ON).

Abstract: A computer-implemented method may receive a confirmation message indicating a sensor was purchased from a third-party retailer and indicating an identity of a user that purchased the sensor. The method may receive a verification message requesting authorization to install the sensor within an environment, the verification message indicating an identity of a user that is requesting authorization to install the sensor. The method may compare the identity of the user indicated in the confirmation message and the identity of the user indicated in the verification message. The method may, responsive to the identity of the user in the confirmation message being the same as the user in the verification message, automatically authorizing the user for the subscription service provided by the third-party retailer.

Abstract: A computer-implemented method may include receiving first data from a first sensor. The first data may include data associated with a potential object within an evaluation field of the first sensor. The method may include receiving second data from a second sensor. The second data may include data associated with a potential object within an evaluation field of the second sensor. The first and second sensors may be different. The method may include determining a first identity classification of the potential object within the evaluation field of the first sensor. The method may include determining a second identity classification of the potential object within the evaluation field of the second sensor. The method may include determining a final identity of the potential object of the first sensor or the second sensor. The method may include performing a security action based on the final identity of the potential object.

Abstract: Methods, systems, and devices for property manager are described. A device may transmit a request to access information from a control panel of a property associated with a smart home automation community. The request may include credentials specific to a property management personnel. In response to the transmitted request, the device may retrieve the information from the control panel of the property based in part on an authentication of the credentials. The authentication of the credentials may include receiving, from an additional device of an occupant of the property, an acknowledgement message to the request. Once the information is retrieved from the control panel, the device may generate an account associated with the control panel of the property based in part on the information, where the account grants a level of access to the property management personnel.

Abstract: Methods, systems, and devices for intruder detection are described. A security and automation system may include a camera configured to monitor a zone of a premises. The security and automation system may detect a person in the zone, for example using the camera, a motion sensor, or another sensor. The security and automation system may determine that the person has remained in the zone for a threshold duration. The security and automation system may generate a notification (e.g. an audiovisual notification) based on determining that the person has remained in the zone for the duration. In some examples, the notification may include a verbal message, a flashing light, etc., to indicate to the person that video recording was initiated. The techniques described herein may inform an intruder that video is being recorded, which may discourage an intruder from an intended action (e.g., theft, property damage, etc.), among other benefits.

Abstract: In some instances, a person may need monitoring. The monitoring may be based on age, or on other factors such as abilities and functionality. The monitoring may enable a supervising person to remotely receive updates regarding the subject person. The supervising person may enter in various biometric parameters to monitor. The supervising person may alternatively and/or additionally set other factors to monitor such as time of day, location, activity level, and the like. The monitoring may provide peace of mind to a supervising person to ensure the subject person is safe. In some embodiments, the supervising person may set various alarm thresholds. The alarm thresholds may trigger an alert to the supervising person. In alternative embodiments, if the subject person is a grown person without a supervising person in the same vicinity, a security and/or automation system may act as the supervising adult.

Abstract: Methods, systems, and devices for intruder detection are described. A security and automation system may include a camera configured to monitor a zone of a premises. The security and automation system may detect a person in the zone, for example using the camera, a motion sensor, or another sensor. The security and automation system may determine that the person has remained in the zone for a threshold duration. The security and automation system may generate a notification (e.g. an audiovisual notification) based on determining that the person has remained in the zone for the duration. In some examples, the notification may include a verbal message, a flashing light, etc., to indicate to the person that video recording was initiated. The techniques described herein may inform an intruder that video is being recorded, which may discourage an intruder from an intended action (e.g., theft, property damage, etc.), among other benefits.

Abstract: Presented herein are system and methods for monitoring a premises. The system and methods can include one or more sensor devices, including one or more image capture devices and one or more processors. The systems and methods can detect, using the one or more sensor devices, the presence of an entity within a first zone of the environment. The systems and methods can determine that the entity corresponds to one or more criteria and determine a first threshold duration based at least in part on the one or more criteria that correspond to the entity. The systems and methods can further determine a duration the entity remains in the first zone after detection by the one or more sensor devices and execute a deterrence action based on the duration and the first threshold duration.

Abstract: A computer-implemented method for facilitating effective sales via a graphical user interface (GUI). The method may include the act of providing a database that includes sales information for potential sales targets. In an embodiment, the method further includes querying the database to identify each of a plurality of potential sales targets within a pre-determined sales region. A step includes generating a first graphical user interface (“GUI”) at an electronic display of a mobile device, where the GUI includes an image of a map of the pre-determined sales region and visual icons depicted on the map at positions corresponding with the geographic location of each of the plurality of potential sales targets within the sales region.

Abstract: Methods, systems, and devices for deterrence techniques using a security and automation system are described. In one method, the system may receive a set of inputs from one or more sensors of the security and automation system. The system may determine one or more characteristics of a person proximate the security and automation system based at least in part on the received set of inputs. The system may predict an event based at least in part on a correlation between the one or more characteristics and the event. The system may perform one or more security and automation actions prior to the predicted event.

Abstract: Apparatuses, systems, devices, and computer program products for deterrence techniques are described. A method may include processing data from an outdoor camera. A method may include detecting a person based at least in part on processed data from an outdoor camera. A method may include emitting a sound from an outdoor camera to deter a person in response to detecting the person.

Abstract: Apparatuses, systems, devices, and computer program products for deterrence techniques are described. A method may include processing data from an outdoor camera. A method may include detecting a person based at least in part on processed data from an outdoor camera. A method may include emitting a sound from an outdoor camera to deter a person in response to detecting the person.