Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise is indicative of a security event. In some non-limiting implementations, the control panel may be configured to detect events based on various noise detection models, such as continued noise level above a threshold, noise associated with multiple short sharp impacts (e.g., an intruder trying to kick down a door), gunshot detection, voice recognition to identify a request for assistance (e.g., a person asking for help), glass break detection, or detection of a particular standardized pattern of beeps such as the temporal-three pattern of a smoke detector going off (according to ISO 8201 and ANSI/ASA S3.41 Temporal Pattern), the temporal-four pattern of a carbon monoxide detector going off, etc.

Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened; and capturing still images or videos by a camera in the control panel subsequent to determining that the security event has happened. In some implementations, the camera is a forward-facing camera. In some implementations, determining that the security event has happened comprises detecting a motion using the camera in the control panel. In some implementations, determining that the security event has happened comprises receiving a signal indicative of activation of a door switch of a door located next to the control panel. In some implementations, the security event is associated with one or more Bluetooth devices being in range, and determining that the security event has happened comprises using a Bluetooth radio in the control panel to detect the Bluetooth devices.

Example implementations include a method, apparatus, and computer-readable medium comprising capturing visual or audio data using at least one camera or microphone in a control panel; performing, by a processor of the control panel, at least one of a voice recognition or a facial recognition, based on the visual or audio data captured by the at least one camera or microphone in the control panel; recognizing an individual according to at least one of the voice recognition or the facial recognition; and presenting, on a display of the control panel, a graphical user interface that includes features associated with the individual.