Abstract: Several embodiments include a portable security device. The portable security device can include one or more sensors. The portable security device can compute a home rhythm pattern utilizing a machine learning engine based on a historical record of real-time sensor feeds. The portable security device can camouflage itself as a digital clock, a digital calendar, or a home security dashboard. The portable security device can define an action trigger that binds a state of the environment around the portable security device to at least a device component action. The portable security device can identify a real-time state of the portable security device amongst a finite set of potential states based on features observed from the sensor feeds. The portable security device can execute the device component action at the portable security device in response to determining that the real-time state matches the action trigger.

Abstract: Several embodiments include a portable security device. The portable security device can include one or more sensors. The portable security device can compute a home rhythm pattern utilizing a machine learning engine based on a historical record of real-time sensor feeds. The portable security device can camouflage itself as a digital clock, a digital calendar, or a home security dashboard. The portable security device can define an action trigger that binds a state of the environment around the portable security device to at least a device component action. The portable security device can identify a real-time state of the portable security device amongst a finite set of potential states based on features observed from the sensor feeds. The portable security device can execute the device component action at the portable security device in response to determining that the real-time state matches the action trigger.

Abstract: Several embodiments include a portable security device. The portable security device can include one or more sensors. The portable security device can compute a home rhythm pattern utilizing a machine learning engine based on a historical record of real-time sensor feeds. The portable security device can camouflage itself as a digital clock, a digital calendar, or a home security dashboard. The portable security device can define an action trigger that binds a state of the environment around the portable security device to at least a device component action. The portable security device can identify a real-time state of the portable security device amongst a finite set of potential states based on features observed from the sensor feeds. The portable security device can execute the device component action at the portable security device in response to determining that the real-time state matches the action trigger.

Abstract: Several embodiments include a portable security device. The portable security device can include one or more sensors. The portable security device can compute a home rhythm pattern utilizing a machine learning engine based on a historical record of real-time sensor feeds. The portable security device can camouflage itself as a digital clock, a digital calendar, or a home security dashboard. The portable security device can define an action trigger that binds a state of the environment around the portable security device to at least a device component action. The portable security device can identify a real-time state of the portable security device amongst a finite set of potential states based on features observed from the sensor feeds. The portable security device can execute the device component action at the portable security device in response to determining that the real-time state matches the action trigger.