Space determination with boundary visualization

1. A computer-implemented method comprising:

assigning each access device of a plurality of access devices to at least one respective space of a plurality of spaces, wherein the assigning each access device comprises assigning a first access device to a first space of the plurality of spaces, based on the first access device controlling access to the first space;

grouping together, into a first group of devices, one or more access devices in the plurality of access devices that are assigned to the first space;

generating a boundary of the first space based at least in part on access data generated by the first group of devices, wherein the access data describes access to the first space by way of the one or more access devices in the first group of devices;

assigning each camera device of a plurality of camera devices to at least one respective space of the plurality of spaces, wherein the assigning each camera device comprises assigning a first camera device to the first space, based at least in part on a proximity of the first camera device to the first space;

assigning each intrusion device of a plurality of intrusion devices to at least one respective space of the plurality of spaces, wherein the assigning each intrusion device comprises assigning a first intrusion device to the first space, based at least in part on a proximity of the first intrusion device to the first space;

grouping together, into the first group of devices, one or more camera devices in the plurality of camera devices that are assigned to the first space and one or more intrusion devices in the plurality of intrusion devices that are assigned to the first space;

generating a visualization in which the first space is depicted as associated with the first group of devices, comprising at least the first access device, the first camera device, and the first intrusion device;

wherein the one or more access devices provides or denies access to the first space based on an identity of the user.

2. The computer-implemented method of claim 1 , further comprising detecting a relationship between the first space and a second space separated from the first space by the first access device, based at least in part on the access data.

3. The computer-implemented method of claim 1 , further comprising:

detecting an anomaly related to at least one device in the first group of devices; and

issuing an alert in the visualization, wherein the alert is associated with the first space, based on the first group of devices being associated with the first space.

4. The computer-implemented method of claim 1 , further comprising:

detecting a presence of a first user in the first space; and

determining that the presence of the first user in the first space is an anomaly, based at least in part on a history of access to the first space by the first user.

5. The computer-implemented method of claim 4 , wherein the detecting the presence of the first user in the first space comprises analyzing two or more of the access data generated by the first group of devices, camera data generated by the first group of devices, and intrusion data generated by the first group of devices.

6. A system comprising:

a memory having computer-readable instructions; and

one or more processors for executing the computer-readable instructions, the computer-readable instructions comprising:

assigning each access device of a plurality of access devices to at least one respective space of a plurality of spaces, wherein the assigning each access device comprises assigning a first access device to a first space of the plurality of spaces, based on the first access device controlling access to the first space;

grouping together, into a first group of devices, one or more access devices in the plurality of access devices that are assigned to the first space;

generating a boundary of the first space based at least in part on access data generated by the first group of devices, wherein the access data describes access to the first space by way of the one or more access devices in the first group of devices;

assigning each camera device of a plurality of camera devices to at least one respective space of the plurality of spaces, wherein the assigning each camera device comprises assigning a first camera device to the first space, based at least in part on a proximity of the first camera device to the first space;

assigning each intrusion device of a plurality of intrusion devices to at least one respective space of the plurality of spaces, wherein the assigning each intrusion device comprises assigning a first intrusion device to the first space, based at least in part on a proximity of the first intrusion device to the first space;

grouping together, into the first group of devices, one or more camera devices in the plurality of camera devices that are assigned to the first space and one or more intrusion devices in the plurality of intrusion devices that are assigned to the first space;

generating a visualization in which the first space is depicted as associated with the first group of devices, comprising at least the first access device, the first camera device, and the first intrusion device;

wherein the one or more access devices provides or denies access to the first space based on an identity of the user.

7. The system of claim 6 , the computer-readable instructions further comprising:

detecting an anomaly related to at least one device in the first group of devices; and

issuing an alert in the visualization, wherein the alert is associated with the first space, based on the first group of devices being associated with the first space.

8. A computer-program product for space determination, the computer-program product comprising a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

assigning each access device of a plurality of access devices to at least one respective space of a plurality of spaces, wherein the assigning each access device comprises assigning a first access device to a first space of the plurality of spaces, based on the first access device controlling access to the first space;

grouping together, into a first group of devices, one or more access devices in the plurality of access devices that are assigned to the first space;

generating a boundary of the first space based at least in part on access data generated by the first group of devices, wherein the access data describes access to the first space by way of the one or more access devices in the first group of devices;

assigning each camera device of a plurality of camera devices to at least one respective space of the plurality of spaces, wherein the assigning each camera device comprises assigning a first camera device to the first space, based at least in part on a proximity of the first camera device to the first space;

assigning each intrusion device of a plurality of intrusion devices to at least one respective space of the plurality of spaces, wherein the assigning each intrusion device comprises assigning a first intrusion device to the first space, based at least in part on a proximity of the first intrusion device to the first space;

grouping together, into the first group of devices, one or more camera devices in the plurality of camera devices that are assigned to the first space and one or more intrusion devices in the plurality of intrusion devices that are assigned to the first space;

generating a visualization in which the first space is depicted as associated with the first group of devices, comprising at least the first access device, the first camera device, and the first intrusion device;

wherein the one or more access devices provides or denies access to the first space based on an identity of the user.

9. The computer-program product of claim 8 , the method further comprising detecting a relationship between the first space and a second space separated from the first space by the first access device, based at least in part on the access data.

10. The computer-program product of claim 8 , the method further comprising:

detecting an anomaly related to at least one device in the first group of devices; and

issuing an alert in the visualization, wherein the alert is associated with the first space, based on the first group of devices being associated with the first space.