Tyco Fire & Security GmbH

A security device maintenance system is provided. The aspects include one or more processors configured to assess security data quality by conducting one or more tests that compare the security data to one or more predetermined thresholds, assign one or more anomaly indicators to security devices if the security data quality fails to meet the one or more predetermined thresholds, and generate an automated maintenance report for the one or more security devices including the one or more anomaly indicators. The aspects can also include periodically retrieving one or more security data from the one or more security devices, utilizing an artificial intelligence (AI) model to detect one or more anomalies, and generating one or more predictive maintenance suggestions.

Aspects of the present disclosure include methods, apparatus, and systems for receiving, at a user management system, a first credential associated with at least one of an end user or a mobile device of the end user, obtaining, at the user management system, a personnel profile of the end user, mapping, based on the personnel profile, the first credential to a list of credentials authorized to access an asset associated with a physical access control security system, and transmitting, from the user management system, the first credential to the physical access control security system.

Example implementations include aspects for resolving license plate numbers read by a license plate recognition (LPR) sensor. A first indication of a license plate number read of a license plate on a first side of a vehicle and a second indication that at least a portion of the license plate is obstructed can be received. A corrected license plate number can be generated by at least one of combining the license plate number with a second license plate number read from a second side of the vehicle, or obtaining a stored license plate number from a license plate database at least in part by querying the license plate database based on the license plate number read from the license plate, and determining the stored license plate number associated with a registered vehicle having one or more stored physical properties matching one or more physical properties of the vehicle.

Systems and methods for use of autonomous mobile machine for blind spot coverage may include a security controller that determines a security coverage area based on data from a facility map indicating physical and functional representations of a facility and objects within the facility. The security controller may also determine a surveillance area based on the security coverage area. The security controller may also transmit, to an autonomous mobile machine, instructions for the autonomous mobile machine to deploy to the surveillance area and perform a security task at the surveillance area.

Aspects of the present disclosure include a method, a server, and/or a non-transitory computer readable medium for receiving a plurality of images from a plurality of cameras monitoring the site, receiving a plurality of sounds from a plurality of microphones, synchronizing the plurality of images and the plurality of sounds based on first timestamps associated with the plurality of images and second timestamps associated with the plurality of sounds, providing a graphical user interface to display a representation of the plurality of sounds and the plurality of images, and providing a control for selecting at least one portion of the plurality of sounds via the graphical user interface.

Aspects of the present disclosure provide a system, apparatus, and method for bag identification. For example, the system may obtain a plurality of images from one or more image capturing devices within a geographic area. The system may further identify a bag within the plurality of images. The system may further determine whether the plurality of images includes a person associated with the bag and within a distance of the bag. The system may further identify a period of time the person has not been within the distance of the bag. The system may further determine whether the period of time the person has not been within the distance of the bag satisfies an abandoned bag threshold value. The system may further generate an indication representing an abandoned bag state.

A building security system includes computer-readable storage media having instructions stored thereon that, when executed by processors, cause the processors to: receive, from cameras communicably coupled to the building security system, video data, wherein the video data includes one or more video recordings, retrieve contextual information associated with the video data, analyze, using one or more artificial intelligence models, the video data, wherein the analysis of the video data includes detecting one or more details, determine, using the one or more AI models, based on the contextual information and the one or more details detected within the video data, a relevance of the one or more video recordings, and, based on the relevance of the one or more video recordings, automatically implement, using the one or more AI models, an action to delete or reduce a storage size of at least one of the one or more video recordings.

The present disclosure relates to a Video Management System with automated camera commissioning and load balancing that comprises a processing circuit to discover a camera based on a broadcast message transmitted by the camera. Further, a load estimate pertaining to each of a network video recorder (NVR) from a set of NVRs is determined and the camera is assigned to an NVR from the set of NVRs based on the load estimate. The camera is then configured using predefined configuration settings.

A system can include one or more memory devices that can store instructions thereon. The instructions can, when executed by one or more processors, cause the one or more processors to receive image data, extract a plurality of image frames from the image data, generate a plurality of image signatures that describe features within the plurality of image frames, store the plurality of image signatures in a database, receive a natural language query, generate a textual signature that describes the natural language query, and perform a search of the database for one or more matches between the textual signature and the plurality of image signatures.

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