AR enhanced structural transformation estimator and modeling engine
View Patent ↗Individual nodes of a plurality of nodes can be fixed to the architectural structure and associated with a different segment of a plurality of segments of a first model of an architectural structure. Positional data associated with the nodes can be received. A structural change to the architectural structure can be estimated based on a comparison of positional data associated with the nodes. A second model representing the architectural structure as modified by the structural change can be generated. The second model can be generated based on (i) the first model and (ii) the estimated change to the architectural structure.
1. A system comprising:
at least one processor;
at least one memory storing computer-readable instructions that, when executed by the at least one processor, causes the system to:
receive positional data associated with a first model of an architectural structure, wherein the positional data is associated with a first or second time;
estimate a structural change to the architectural structure based on a comparison of the positional data associated with the first time and the positional data associated with the second time; and
generate a second model representing the architectural structure as modified by the structural change, wherein the second model is generated based on (i) the first model and (ii) the estimated change to the architectural structure.
2. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
receive a blueprint of the architectural structure; and
generate the first model based on the blueprint.
3. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
predict a future structural change based on the second model.
4. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
identify one or more structural transformations of the architectural structure;
generate one or more annotations associated with the identified structural transformations; and
update the second model to include the one or more annotations.
5. The system of claim 4 , wherein the instructions further cause the system to:
generate a presentation that reflects the structural change, the presentation including the one or more annotations.
6. The system of claim 5 , wherein the presentation is at least one of an augmented reality (AR) presentation or a virtual reality (VR) presentation.
7. The system of claim 6 , wherein the identified structural transformations are overlaid over an image of the structure captured by a camera device.
8. The system of claim 1 , wherein the positional data is defined based on at least one of X-axis, Y-axis, or Z-axis coordinates and the structural change is defined based on the at least one of X-axis, Y-axis, or Z-axis coordinates.
9. The system of claim 8 , wherein the computer-readable instructions further cause the system to:
determine a rotational change based on the positional data in relation to a reference point.
10. The system of claim 9 , wherein the structural change can be filtered in the second model based on at least one of X-axis, Y-axis, Z-axis, or rotational changes.
11. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
determine the positional data based on at least one of a proximity or a distance from a reference point.
12. The system of claim 11 , wherein the reference point is a third positional data indicative of at least one of relative proximity or a relative distance from the positional data associated with the second time.
13. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
aggregate the positional data over time;
determine at least some of the positional data as outliers; and
filter out the outliers.
14. The system of claim 1 , wherein the computer-readable instructions further cause the system to:
determine the positional data based on a signal strength of a transmitter for generating the first model.
15. The system of claim 14 , wherein the transmitter utilizes at least one of ultra-wide band positioning or a mesh network.
16. The system of claim 15 , wherein the mesh network utilizes cellular signals to communicate the first model when Wi-Fi is not available.
17. A computer-implemented method comprising:
receive positional data associated with a first model of an architectural structure, wherein the positional data is associated with a first or second time;
estimating a structural change to the architectural structure based on a comparison of the positional data associated with the first time and the positional data associated with the second time; and
generating a second model representing the architectural structure as modified by the structural change, wherein the second model is generated based on (i) the first model and (ii) the estimated change to the architectural structure.
18. The computer-implemented method of claim 17 , further comprising:
determining the positional data based on a signal strength of a transmitter for generating the first model.
19. The computer-implemented method of claim 17 , further comprising:
receiving a blueprint of the architectural structure; and
generating the first model based on the blueprint.
20. The computer-implemented method of claim 17 , further comprising predicting a future structural change based on the second model.