Abstract: Techniques for visualization of access events across a facility are described. In one aspect, event data associated with one or more users from multiple access detection units of the facility is obtained. This event data indicates interactions between users and access detection units of the facility. A layout representation of the facility, overlaid with the locations of the access detection units of the facility, is accessed. The event data is synthesized to determine paths traversed by users, where synthesizing includes transforming the event data into a visually dynamic format. A visual representation of the event data is then generated, indicating user movements within the facility in correspondence with the layout representation. Thereafter, this visual representation is provided to personnel.

Abstract: An access control system includes access control devices for reading access control keys that are each associated with a corresponding one of a plurality of authorized users of the facility. Access requests from the access control devices are presented to an Artificial Intelligence and/or Machine Learning (AI/ML) engine, the AI/ML engine identifying one or more of the plurality of access requests as a flagged access request that represents a possible security event for the facility. One or more images from a security camera that captures the flagged access request are displayed for review by a security operator and a response is entered by the security operator that classifies the flagged access request as either a legitimate access request or an illegitimate access request. An alert is issued when the response classifies the flagged access request as an illegitimate access request.

Abstract: Systems and methods for location aware access are provided. A location aware access system comprises a card reader and at least one controller. The card reader obtains access credential from a card, generates a corresponding time stamp, ascertains location coordinates representative of a geolocation of the card reader when the access credentials were received, and provides the access credentials, the time stamp, and the location coordinates to the controller. The controller is configured to receive the access credentials, the time stamp, and the location coordinates corresponding to the geolocation of the card from the card reader. Further, the controller is configured to perform authentication of the card based on the access credentials, the time stamp, and the location coordinates corresponding to the geo location of the card, and trigger an unlocking mechanism corresponding to the card reader upon successful authentication of the card.

Abstract: An example method for predicting and visualizing future building equipment performance comprises: receiving actual performance and operating condition data associated with building equipment at a site, the actual performance and operating condition data including actual performance and operating condition data received from a building management system associated with the site; predicting future operating performance and operating condition data for the building equipment at the site during a future time period; generating synthetic data indicative of the predicted operating performance and operating condition data; generating, via the synthetic data, a synthetic video simulation of the future operating performance and operating condition data; displaying, via a display of a computing device in the building management system, the synthetic video simulation of the future operating performance and operating condition data; and responsive to identification of a future building equipment issue, generating an elec

Abstract: A computer-implemented method includes: receiving rotorcraft orientation angles including a roll angle, a pitch angle, and a yaw angle from one or more gyroscope(s) on a rotorcraft; receiving PTZ camera orientation angles including a PTZ camera roll angle, a PTZ camera pitch angle, and a PTZ camera yaw angle from a PTZ camera on the rotorcraft; calculating an error between the rotorcraft orientation angles and the PTZ camera orientation angles; generating PTZ camera orientation angle adjustment data based on the error between the rotorcraft orientation angles and the PTZ camera orientation angles; and providing the PTZ camera orientation angle adjustment data to the PTZ camera for use by the PTZ camera to adjust PTZ camera orientation angles; wherein the PTZ camera adjusts the PTZ camera orientation angles based on the PTZ camera orientation angle adjustment data.

Abstract: Systems and methods for guiding visitors to their intended destinations within an environment are provided. The system comprises a processor and an AI engine. The processor receives a visitor request comprising information about a destination in the environment. The processor determines a current location of the visitor. Further, the processor obtains a current status of one or more access points associated with the environment. Further, the processor provides the information about the destination, the current location of the visitor, and the current status of the one or more access points as an input to the AI-engine. Further, the processor receives a route to the destination of the visitor from the AI engine. Further, the processor provides, using at least one multimedia output, the route on a user device of the visitor.

Abstract: Systems and methods for location aware access are provided. A location aware access system comprises a card reader and at least one controller. The card reader obtains access credential from a card, generates a corresponding time stamp, ascertains location coordinates representative of a geolocation of the card reader when the access credentials were received, and provides the access credentials, the time stamp, and the location coordinates to the controller. The controller is configured to receive the access credentials, the time stamp, and the location coordinates corresponding to the geolocation of the card from the card reader. Further, the controller is configured to perform authentication of the card based on the access credentials, the time stamp, and the location coordinates corresponding to the geo location of the card, and trigger an unlocking mechanism corresponding to the card reader upon successful authentication of the card.

Abstract: Emergency evacuation times may be predicted for a facility. Location information may be captured for each of a plurality of people within the facility and one or more historical movement patterns of one or more of the plurality of people associated with the facility may be identified based at least in part on the captured location information. One or more predefined evacuation routes may be identified for the facility. The emergency evacuation time for evacuating the facility using the one or more predefined evacuation routes in response to an evacuation event may be predicted based at least in part on the one or more historical movement patterns of one or more of the plurality of people associated with the facility.

Abstract: An access control system includes access control devices for reading access control keys that are each associated with a corresponding one of a plurality of authorized users of the facility. Access requests from the access control devices are presented to an Artificial Intelligence and/or Machine Learning (AI/ML) engine, the AI/ML engine identifying one or more of the plurality of access requests as a flagged access request that represents a possible security event for the facility. One or more images from a security camera that captures the flagged access request are displayed for review by a security operator and a response is entered by the security operator that classifies the flagged access request as either a legitimate access request or an illegitimate access request. An alert is issued when the response classifies the flagged access request as an illegitimate access request.

Abstract: Activities in a monitored space are monitored using a plurality of Pan/Tilt/Zoom (PTZ) video cameras each having a Field Of View (FOV). The method includes receiving a video stream from a first PTZ video camera, identifying one or more objects in the FOV of the first PTZ video camera, and classifying each of the identified objects into one or more of a plurality of object classes. The method includes determining when one or more objects, classified in a first object class of the plurality of object classes, obstructs a designated region of the monitored space in the FOV of the first PTZ video camera for at least a threshold period of time, and when so, causing a second PTZ video camera to adjust its pan, tilt and/or zoom settings to capture the designated region of the monitored space.

Abstract: A system for performing facial recognition includes a memory for storing a plurality of enrolled facial recognition templates for a plurality of enrolled users, a camera for capturing a current facial image of a person, and a controller that is operatively coupled to the memory and the camera. The controller is configured to determine whether the current facial image of the person matches one of the plurality of enrolled facial recognition templates. When the current facial image of the person matches one of the plurality of enrolled facial recognition templates, the controller is configured to identify the enrolled user of the plurality of enrolled users that matches the current facial image of the person, and to update the enrolled facial recognition template for the matching enrolled user based on the current facial image of the person.