Abstract: Systems and methods are disclosed relating to the installation of building systems, such as security systems, using machine learning models, such as generative artificial intelligence models. For example, a method can include receiving a prompt indicating inputs from a user that represent components of a building system to be installed. The method can include applying the prompt to a machine learning model comprising at least one transformer, the machine learning model trained using one or more natural language prompts and example system installation data to cause the machine learning model to generate a target layout and installation for the building system. The method can further include presenting the layout for the system using at least one of a display device or an audio output device.

Abstract: Some non-limiting aspects of the present disclosure allow a single box to implement a control panel for controlling two or more safety/automation systems (e.g., fire protection, intrusion, access control, building controls, etc.), while also meeting standby and/or other battery backup requirements of each one of the safety/automation systems.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Abstract: An expansion system for portable electronic devices is provided. A portable electronic device includes a main logic board and a battery component. The device includes a package for enclosing components of the device that is sealed to prevent ingress of foreign material from the surrounding environment. A mounting interface is provided that extends into the internal space of the package. The mounting interface mounts an expansion component that expands functionality of the device so that it is physically and mechanically spaced from the main logic board. The device may include an expansion interface mounted on the main logic board for logical communication between the main logic board and the expansion component.

Abstract: A docking cradle is configured to seat a mobile computer. The docking cradle comprises a docking interface configured to electrically couple the docking cradle to the mobile computer and a latch for latching the mobile computer within the docking cradle. The latch comprises a pair of latching arms and a locking plate. Each latching arm comprises at least one tooth configured to engage a corresponding recess in the mobile computer, an arm pivot point on a lower portion of the latching arm, and an offset portion below the arm pivot point. Each latching arm is rotationally mounted to opposing sides of the docking cradle at the arm pivot point so as to rotate towards and away from each other. Each latching arm is shaped so that a distance between the offset portions is less than the distance between arm pivot points when the latching arms are upright.

Abstract: An expansion system for portable electronic devices is provided. A portable electronic device includes a main logic board and a battery component. The device includes a package for enclosing components of the device that is sealed to prevent ingress of foreign material from the surrounding environment. A mounting interface is provided that extends into the internal space of the package. The mounting interface mounts an expansion component that expands functionality of the device so that it is physically and mechanically spaced from the main logic board. The device may include an expansion interface mounted on the main logic board for logical communication between the main logic board and the expansion component.

Abstract: An expansion system for portable electronic devices is provided. A portable electronic device includes: a main logic board; an expansion device for expanding functionality of the portable electronic device; a flexible interconnection for logically connecting the expansion device to the main logic board; and a package for enclosing the main logic board and the expansion device together. The main logic board is mechanically isolated from the expansion device. The expansion device is physically spaced from the main logic board when enclosed in the package. An intrinsic expansion for a portable electronic device includes: an expansion board for expanding functionality of the portable electronic device, an expansion interface for logically connecting the expansion board to a main logic board of the portable electronic device, and a flexible interconnection for interconnecting the expansion board and the expansion interface.

Abstract: A docking cradle is configured to seat a mobile computer. The docking cradle comprises a docking interface configured to electrically couple the docking cradle to the mobile computer and a latch for latching the mobile computer within the docking cradle. The latch comprises a pair of latching arms and a locking plate. Each latching arm comprises at least one tooth configured to engage a corresponding recess in the mobile computer, an arm pivot point on a lower portion of the latching arm, and an offset portion below the arm pivot point. Each latching arm is rotationally mounted to opposing sides of the docking cradle at the arm pivot point so as to rotate towards and away from each other. Each latching arm is shaped so that a distance between the offset portions is less than the distance between arm pivot points when the latching arms are upright.

Abstract: An expansion system for portable electronic devices is provided. A portable electronic device includes: a main logic board; an expansion device for expanding functionality of the portable electronic device; a flexible interconnection for logically connecting the expansion device to the main logic board; and a package for enclosing the main logic board and the expansion device together. The main logic board is mechanically isolated from the expansion device. The expansion device is physically spaced from the main logic board when enclosed in the package. An intrinsic expansion for a portable electronic device includes: an expansion board for expanding functionality of the portable electronic device, an expansion interface for logically connecting the expansion board to a main logic board of the portable electronic device, and a flexible interconnection for interconnecting the expansion board and the expansion interface.