Method and system for generating configuration parameters for a security system
Configuration and usage data associated with a security system for each of a plurality of existing sites may be received, including a spatial model for the security system of the corresponding existing site and historical access data for the security system of the corresponding existing site. An Artificial Intelligence (AI) model is trained using the configuration and usage data associated with the security systems of the plurality of existing sites. Site information for a target site is received and is submitted to the AI model, wherein in response, the AI model automatically generates a spatial model for a security system of the target site and configuration parameters for the security system of the target site. The generated spatial model and the configuration parameters for the security system of the target site are subsequently used to setup and operate the security system at the target site.
1 . A method for generating configuration parameters for a security system of a target site, the method comprising:
receiving configuration and usage data associated with a security system for each of a plurality of existing sites, the configuration and usage data including:
a spatial model for the security system of the corresponding existing site;
historical access data for the security system of the corresponding existing site;
training an Artificial Intelligence (AI) model using the configuration and usage data associated with the security systems of the plurality of existing sites;
receiving site information for the target site;
submitting the site information for the target site to the Artificial Intelligence (AI) model, wherein in response, the Artificial Intelligence (AI) model automatically generates a spatial model for a security system of the target site and configuration parameters for the security system of the target site, wherein the AI model generates the configuration parameters based at least in part on correlated spatial data and credential usage patterns; and
outputting the generated spatial model for the security system of the target site and the configuration parameters for the security system of the target site.
2 . The method of claim 1 , comprising:
importing the configuration parameters for the security system of the target site into the security system of the target site to at least partially configure the security system of the target site; and
running the security system of the target site that has been at least partially configured using the imported configuration parameters.
3 . The method of claim 2 , comprising:
receiving user input to modify one or more of the imported configuration parameters of the security system of the target site.
4 . The method of claim 1 , comprising:
running the security system of the target site using the configuration parameters for the security system of the target site.
5 . The method of claim 1 , comprising:
manually entering one or more of the configuration parameters for the security system of the target site into the security system of the target site; and
running the security system of the target site using the one or more of the manually entered configuration parameters for the security system of the target site.
6 . The method of claim 1 , comprising:
selecting an existing reference site;
receiving configuration and usage data associated with the security system of the existing reference site; and
submitting the configuration and usage data associated with the security system of the existing reference site, along with the site information for the target site, to the Artificial Intelligence (AI) model, wherein in response, the Artificial Intelligence (AI) model generates the spatial model for the security system of the target site and configuration parameters for the security system of the target site.
7 . The method of claim 1 , wherein the site information for the target site comprises one or more of:
a number of employees for the target site;
a number of floors at the target site; and
a spatial model of the target site.
8 . The method of claim 1 , wherein the spatial model of each of the plurality of existing sites identifies one or more hardware elements of the security system of the corresponding existing site and configuration settings of the security system of the corresponding existing site.
9 . The method of claim 8 , wherein the identified one or more hardware elements of the security system of the corresponding existing site include one or more of an access control panel, a card reader, a door lock, a door position sensor, a camera, a sensor, an audible alarm and a physical access card.
10 . The method of claim 8 , wherein the configuration settings of the security system of the corresponding existing site include one or more of a door configuration setting, an access level configuration setting, a schedule configuration setting, a controller configuration setting, a rule configuration setting, a trigger configuration setting, and a credential configuration setting.
11 . The method of claim 1 , wherein the spatial model for the security system of one or more of the corresponding existing sites identifies one or more of:
a number of floors at the corresponding existing site;
a number of doors at the corresponding existing site; and
a spatial location of each of one or more doors at the corresponding existing site.
12 . The method of claim 1 , comprising:
receiving user credential configuration settings associated with the security system for each of the plurality of existing sites;
training the Artificial Intelligence (AI) model using the configuration and usage data associated with the security systems of the plurality of existing sites and the user credential configuration settings associated with the security systems of the plurality of existing sites;
the Artificial Intelligence (AI) model automatically generating the spatial model for the security system of the target site, the configuration parameters for the security system of the target site and user credential configuration settings for the security system of the target site; and
outputting the generated spatial model for the security system of the target site, the configuration parameters for the security system of the target site and the user credential configuration settings for the security system of the target site.
13 . The method of claim 1 , comprising:
receiving raw configuration and usage data associated with the security system for each of the plurality of existing sites, the raw configuration and usage data including a plurality of data fields; and
selecting only predetermined data fields from the raw configuration and usage data, and storing the selected predetermined data fields as the configuration and usage data associated with the security systems for each of a plurality of existing sites.
14 . The method of claim 13 , wherein the selected predetermined data fields include one or more of:
a site identifier;
a spatial model;
a door identifier;
a camera identifier;
a camera name;
a camera to door association;
a card holder identifier;
an access mapping of detected access events; and
a video motion detection count per door.
15 . The method of claim 1 , wherein the generated spatial model for the security system of the target site identifies one or more access panel locations, sensor locations, camera locations, and door lock locations for the security system of the target site.
16 . The method of claim 1 , wherein the generated configuration parameters for the security system of the target site include one or more access panel configuration parameters, camera configuration parameters, door access configuration parameters, physical access card configuration parameters.
17 . A system for generating configuration parameters for a security system of a target site, comprising:
a memory for storing a trained Artificial Intelligence (AI) model that is configured to generate a spatial model for a security system of the target site and configuration parameters for the security system of the target site based on configuration and historical usage data associated with a security system for each of a plurality of other sites;
a controller operatively coupled to the memory, the controller configured to:
read site information for the target site;
submit the site information for the target site to the trained Artificial Intelligence (AI) model, wherein in response, the trained Artificial Intelligence (AI) model automatically generates the spatial model for the security system of the target site and configuration parameters for the security system of the target site, wherein the trained AI model generates the configuration parameters based at least in part on correlated spatial data and credential usage patterns; and
output the generated spatial model for the security system of the target site and the configuration parameters for the security system of the target site.
18 . The system of claim 17 , wherein the controller is configured to:
output the configuration parameters for the security system of the target site to the security system of the target site, wherein the security system of the target site runs the security system of the target site using the configuration parameters output by the controller for the security system of the target site.
19 . The system of claim 17 , wherein the controller is configured to:
receive a selection of an existing reference site;
receive configuration and usage data associated with the security system of the existing reference site; and
submit the configuration and usage data associated with the security system of the existing reference site, along with the site information for the target site, to the trained Artificial Intelligence (AI) model, wherein in response, the trained Artificial Intelligence (AI) model automatically generates the spatial model for the security system of the target site and configuration parameters for the security system of the target site.
20 . A non-transitory computer readable medium storing instructions thereon that when executed by one or more processors cause the one or more processors to:
read site information for a target site;
submit the site information for the target site to a trained Artificial Intelligence (AI) model, wherein in response, the trained Artificial Intelligence (AI) model automatically generates a spatial model for a security system of the target site and configuration parameters for the security system of the target site, wherein the trained AI model generates the configuration parameters based at least in part on correlated spatial data and credential usage patterns; and
output the generated spatial model for the security system of the target site and the configuration parameters for the security system of the target site for use in configuring the security system of the target site.