An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to generate a polymorphic access key, and the mobile device is configured to receive the polymorphic access key and display the polymorphic access key or communicate the polymorphic access key to an access management device. The access management device is configured to provide access to an account, another device, a physical space, or a virtual space upon reading or receiving the polymorphic access key and verifying the polymorphic access key.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

An asset is identified in a predefined area. The type of asset is identified through video or wireless tag identification. A security policy associated with the type of asset is obtained. Entries in an asset log are recorded based on a location of the asset, an individual handling the asset, and/or actions taken by an individual with respect to the asset based on the security policy. A real-time notification is sent when the location, the handling, and/or any of the actions warrant a notification based on the security policy.

An artificial intelligence entry management device for an entry and delivery system includes a camera, a microphone, a motion detector, a speaker, and a housing. The housing has an oval shape with a substantially open middle. The substantially open middle has a housing protrusion portion configured to house the camera, the microphone, the motion detector, and the speaker. The entry and delivery system may also include one or more robots that interface with the entry management device to monitor an area around an access point and to alert the user of activity. A robot may be an aerial robot that has a camera, a robot light, a speaker, a microphone and an actuator to enable picking and moving a package. Aerial robots may be configured around a perimeter of a building to monitor the building and may turn on a robot light when motion is detected.

Methods, systems, and apparatus, including computer programs encoded on storage devices, for drone-augmented emergency response services. In one aspect, a monitoring system, comprising: a plurality of monitoring control units, and a monitoring application server, wherein the monitoring application server includes a network interface, one or more processors, and one or more storage devices that include instructions to perform operations. The operations include receiving an emergency event notification from a first monitoring control unit of the plurality of monitoring control units, determining a type of emergency event, and a location associated with the emergency event notification, identifying one or more drones that can be deployed to the location associated with the emergency event, and transmitting an instruction to a monitoring station server associated with a drone base station to deploy the one or more identified drones to the location associated with the emergency event.

An unmanned aerial vehicle is described and includes a computer carried by the unmanned aerial vehicle to control flight of the unmanned aerial vehicle and at least one sensor. The unmanned aerial vehicle is caused to fly a specific pattern within a facility, receive sensor data from a sensor carried by the vehicle, apply processing to the sensor data to detect an unacceptable level of detected feature differences in features contained in the sensor data, determine a new flight instruction for the vehicle based on the processing; and send the new flight instruction for the vehicle to a system for controlling flight of the vehicle.

The present invention is directed to methods and systems for enforcing at least one rule within a geofence. The rule is enforced by a fencing agent on an Unmanned Aerial Vehicle (UAV). The geofence is defined by a plurality of geographic designators, with the plurality of geographic designators each being associated with an Internet Protocol (IP) address, preferably an IPv6 address.

Systems, methods, and computer program products for securing a device or an asset attached thereto. The positions of a plurality of devices are monitored, and based on the positions, a determination is made as to whether a threshold condition has been violated. If the threshold condition has been violated, a notification signal is transmitted from a monitored device to one or more of the other devices to alert a responder that the monitored device is at risk of being lost. In response to the threshold condition being violated, the monitored device may also record and/or transmit data for display to the responder to help prevent the loss, or facilitate the recovery of the monitored device and/or an asset attached to the monitored device.