Methods, systems, and media for providing information are provided. In some implementations, a method for providing information is provided, the method comprising: associating a first recording device of a group of recording devices located in an environment of a user with a trigger term; receiving, from a user device, a query that includes the trigger term; in response to receiving the query, determining that audio data is to be transmitted from at least one recording device from the group of recording devices in the environment of the user; identifying the first recording device based on the inclusion of the trigger term in the received query; receiving the audio data from the first recording device; identifying a characteristic of an animate object in the environment of the user based on the received audio data; and presenting information indicating the characteristic of the animate object on the user device.

A criminal act detection system may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving data from a plurality of geographically distributed personal electronic devices; determining, based on the data received from the personal electronic devices, that conduct consistent with a criminal act has occurred; and sending information pertaining to the conduct consistent with a criminal act to one or more of the personal electronic devices.

A hub device including a housing defining an interior, a plurality of sensors, and a controller module. The plurality of sensors being provided within the interior or along a portion of the housing. The controller module having access to a memory comprising a set of preloaded software and a set of additional software. At least one of least one of the set of preloaded software or the set of additional software is configured to allow the hub device to be communicatively couplable to at least one additional hardware.

An apparatus and a method for controlling an interior of a vehicle are disclosed. The apparatus for controlling the interior of the vehicle may include an interface configured to receive, at predetermined cycles, information on at least one of video of an inside of the vehicle collected by a camera or sound of the inside of the vehicle collected from a microphone, and a processor configured to determine a relationship between passengers in the vehicle based on the information, and control the interior of the vehicle based on the relationship between the passengers. When determining the relationship between passengers, a passenger relationship estimation algorithm used may be a neural network model generated through machine learning, and may be stored in a memory in the apparatus for controlling the interior of the vehicle, or may be provided via a server in an artificial intelligence environment through a 5G network.

A computer implemented method includes: capturing an ambient sound event; determining whether the ambient sound event matches at least one of a plurality of pre-identified sound events stored in a computer storage; generating a prompt via the user interface for a user to confirm that a response is needed; determining whether to initiate a response based on the user's response to the prompt.

Identifying activity in an area even during periods of poor visibility using a video camera and an audio sensor are disclosed. The video camera is used to identify visible events of interest and the audio sensor is used to capture audio occurring temporally with the identified visible events of interest. A sound profile is determined for each of the identified visible events of interest based on sounds captured by the audio sensor during the corresponding identified visible event of interest. Then, during a time of poor visibility, a subsequent sound event is identified in a subsequent audio stream captured by the audio sensor. One or more sound characteristics of the subsequent sound event are compared with the sound profiles associated with each of the identified visible events of interest, and if there is a match, one or more matching sound profiles are filtered out from the subsequent audio stream.

A low or medium voltage switchgear monitoring system includes: at least one sensor; a processing unit; and an output unit. The at least one sensor acquires sensor data within a compartment of a switchgear. The sensor data includes first sensor data. The sensor data includes second sensor data. The second sensor data is acquired a set time after the first sensor data. The at least one sensor provides the first sensor data and the second sensor data to the processing unit. The processing unit determines status information for a compartment of the switchgear based on a comparison of the second sensor data to the first sensor data. The output unit outputs the status information.

Systems, methods, and computer program products for detecting, locating, and identifying gunshots. In response to detecting a discharge of a firearm, a discharge alert indicating one or more characteristics of the discharge is transmitted to a gunshot location system. The one or more characteristics of the discharge are compared to one or more characteristics of one or more gunshots detected by the gunshot location system based on acoustic signals received at one or more listening stations. In response to finding a match between the one or more characteristics of the discharge and the one or more characteristics of acoustically detected gunshot, the gunshot is associated with the firearm.

A shock detector device (110) for premises security is described. The shock detector device (110) comprises a shock detector sensor (112) configured to sense physical motion and to output an electrical signal in response to the physical motion. Processing circuitry (114) is configured to process the electrical signal by: obtaining an indication that a shock event has occurred if a value for at least one parameter of the electrical signal is determined to exceed a threshold value; and processing instructions for adjusting at least one detection parameter of the shock detector device (110) in response to a determination that the shock event is a false alarm event, wherein the adjusting of the at least one detection parameter results in a decrease of a sensitivity of shock detection by the shock detector device (110).

Various aspects of the disclosure relate to monitoring a physical location to determine and/or predict anomalous activities. One or more machine learning algorithms may be used to analyze inputs from one or more sensors, cameras, audio recording equipment, and/or any other types of sensors to detect anomalous measurements/patterns. Notifications may be sent one or more devices in a network based on the detection.