Enterprise system augmented reality detection
A system, method, and computer-readable medium are disclosed for augmented reality detection of enterprise systems in a data center. An augmented reality view is captured of an enterprise system and objects of the enterprise system. Significant areas are detected of the enterprise. In the captured augmented reality view bounding boxes are added around the significant areas. Determination is performed of three-dimensional orientation of the significant areas. Depth of the signification areas is determined based on the three-dimensional orientation.
1. A computer-implementable method for augmented reality detection of enterprise systems in a data center, the method comprising:
capturing a view of an enterprise system and objects of the enterprise system;
detecting structural areas of the enterprise system and the objects of the enterprise system;
adding bounding boxes to the view of the enterprise system representing the structural areas;
determining orientation in three-dimensional space of the structural areas;
determining depth of the structural areas based on the determined orientation in the three-dimensional space; and
providing encrypted communication via a nonce to an augmented reality detection system of information as to view, the structural areas, the orientation in the three-dimensional space of the structural areas, and the depth of the structural areas.
2. The method of claim 1 , wherein the capturing further comprises a visual capture of physical image markers on the enterprise system.
3. The method of claim 2 , wherein the visual capture incudes additional information as to the enterprise system and/or the objects of the enterprise system.
4. The method of claim 1 , wherein the detecting structural areas and adding bounding boxes is performed by an object detection model.
5. The method of claim 1 , wherein the determining orientation further comprises refining the bounding boxes representing the structural areas.
6. The method of claim 1 , wherein the determining orientation uses accelerometer data relative to the captured view.
7. The method of claim 1 , wherein the depth of the structural areas is determined using focal point of a camera that captures the view and relative received signal strength indicator (RSSI) values to an access point.
8. A system comprising:
a processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations for augmented reality detection of enterprise systems in a data center and comprising instructions executable by the processor and configured for:
capturing a view of an enterprise system and objects of the enterprise system;
detecting structural areas of the enterprise system and the objects of the enterprise system;
adding bounding boxes to the view of the enterprise system representing the structural areas;
determining orientation in three-dimensional space of the structural areas;
determining depth of the structural areas based on the determined orientation in the three-dimensional space; and
providing encrypted communication via a nonce to an augmented reality detection system of information as to view, the structural areas, the orientation in the three-dimensional space of the structural areas, and the depth of the structural areas.
9. The system of claim 8 , wherein the capturing further comprises a visual capture of physical image markers on the enterprise system.
10. The system of claim 9 , wherein the visual capture incudes additional information as to the enterprise system and/or the objects of the enterprise system.
11. The system of claim 8 , wherein the detecting structural areas and adding bounding boxes is performed by an object detection model.
12. The system of claim 8 , wherein the determining orientation further comprises refining the bounding boxes representing the structural areas.
13. The system of claim 8 , wherein the determining orientation uses accelerometer data relative to the captured view.
14. The system of claim 8 , wherein the depth of the structural areas is determined using focal point of a camera that captures the view and relative received signal strength indicator (RSSI) values to an access point.
15. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
capturing a view of an enterprise system and objects of the enterprise system;
detecting significant areas of the enterprise system and the objects of the enterprise system;
adding bounding boxes to the view of the enterprise system representing the structural areas;
determining orientation in three-dimensional space of the structural areas;
determining depth of the structural areas based on the determined orientation in the three-dimensional space; and
providing encrypted communication via a nonce to an augmented reality detection system of information as to view, the structural areas, the orientation in the three-dimensional space of the structural areas, and the depth of the structural areas.
16. The non-transitory, computer-readable storage medium of claim 15 , wherein the capturing further comprises a visual capture of physical image markers on the enterprise system.
17. The non-transitory, computer-readable storage medium of claim 15 , wherein the detecting structural areas and adding bounding boxes is performed by an object detection model.
18. The non-transitory, computer-readable storage medium of claim 15 , wherein the determining orientation further comprises refining the bounding boxes representing the structural areas.
19. The non-transitory, computer-readable storage medium of claim 15 , wherein the determining orientation uses accelerometer data relative to the captured view.
20. The non-transitory, computer-readable storage medium of claim 15 , wherein the depth of the structural areas is determined using focal point of a camera that captures the view and relative received signal strength indicator (RSSI) values to an access point.