Abstract: Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for advanced device and/or user localization upon the occurrence of an event. The disclosed framework can detect the occurrence of an emergency, which can be localized and/or personal to a user or a global/regional event, and detect the presence and precise location of a user. The framework can enable the scanning of a geographical area for the presence of devices, which can be a specific type (e.g., smart ring). Upon detecting the presence of a ring, for example, the signal information from the emergency broadcast signal from the device can be analyzed and leveraged to pinpoint a location from the scanning device to the ring. This, therefore, enables a first responder to pinpoint the position at a location so they can be timely rescued. Accordingly, the disclosed framework improves how devices can operate for a live-saving purpose.

Abstract: A device includes a first housing and a second housing pivotably coupled to the first housing. The second housing has a first camera disposed on a first side of the first housing and a second camera disposed on a second side of the first housing. The first camera has a first field of view (FoV) that is adjustable via pivoting the second housing, and the second camera has a second FoV that is adjustable via pivoting the second housing. The second FoV is different than the first FoV. A privacy cover is coupled to the second housing and is configured to transition between a first position in which the first camera is unobstructed and a second position in which the first camera is obstructed.