Facilitation of augmented reality-based space assessment

Abstract

A view can be presented with an augmented reality (AR) view of the space. The AR view can be augmented with imagery to indicate to the viewer environmental conditions that may not otherwise be known to the viewer. The viewer can also initiate alterations to the environment based on the information and recommendations presented in the AR view. Current conditions, past trends, and forecasted future trends can be included in the creation of the AR displays.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, by network equipment comprising a processor, environment data representative of environmental characteristics associated with an environment of a home;   converting, by the network equipment, the environment data into image data representative of an augmented reality image of the environment of the home; and   sending, by the network equipment via a network, the image data to a user equipment to facilitate displaying the augmented reality image.   
     
     
         2 . The method of  claim 1 , wherein the image data is first image data representative of a first augmented reality image of the environment of the home at a first time, the environment data is first environment data, and further comprising:
 predicting second environment data representative of a future change to the environmental characteristics that will occur at a second time that is after the first time,   converting, by the network equipment, the second environment data into second image data representative of a second augmented reality image of the environment of the home at the second time, and   sending, by the network equipment, via the network, the second image data to the user equipment to facilitate displaying the second augmented reality image.   
     
     
         3 . The method of  claim 2 , wherein predicting the future change is based on construction data representative of a planned construction associated with the home. 
     
     
         4 . The method of  claim 2 , wherein predicting the future change is based on traffic trend data representative of a traffic trend in a defined region associated with the home. 
     
     
         5 . The method of  claim 2 , wherein predicting the future change is based on population data representative of a population trend in a defined region associated with the home. 
     
     
         6 . The method of  claim 2 , wherein the first time occurs during daytime and the second time occurs during nighttime. 
     
     
         7 . The method of  claim 1 , wherein the environment is an interior of the home. 
     
     
         8 . Network equipment, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 receiving, via at least one sensor, environment data representative of environmental characteristics associated with an environment of a building; 
 generating image data representative of an augmented reality image of the environment of the building based on the environment data; and 
 transmitting, via a network, the image data to an augmented reality viewing device to facilitate displaying the augmented reality image. 
   
     
     
         9 . The network equipment of  claim 8 , wherein the image data is first image data representative of a first augmented reality image of the environment of the building at a first time, the environment data is first environment data, and further comprising:
 predicting second environment data representative of a future change to the environmental characteristics that is threshold likely to occur at a second time that is after the first time,   generating second image data representative of a second augmented reality image of the environment of the building at the second time based on the second environment data, and   transmitting, via the network, the second image data to the augmented reality viewing device to facilitate displaying the second augmented reality image.   
     
     
         10 . The network equipment of  claim 9 , wherein predicting the future change is based on planned construction associated with the building. 
     
     
         11 . The network equipment of  claim 9 , wherein predicting the future change is based on a traffic trend in a defined region associated with the building. 
     
     
         12 . The network equipment of  claim 9 , wherein predicting the future change is based on a population trend in a defined region associated with the building. 
     
     
         13 . The network equipment of  claim 9 , wherein the first time is daytime and the second time is nighttime. 
     
     
         14 . The network equipment of  claim 8 , wherein the environment is an exterior of the building. 
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of network equipment, facilitate performance of operations, comprising:
 receiving, via a cellular communications network, environment data representative of environmental characteristics associated with an environment of a defined physical space;   generating image data representative of an augmented reality image of the environment of the defined physical space based on the environment data; and   sending, via the cellular communications network, the image data to user equipment to facilitate displaying the augmented reality image.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the image data is first image data representative of a first augmented reality image of the environment of the defined physical space during a first time, the environment data is first environment data, and further comprising:
 predicting second environment data representative of a future change to the environmental characteristics that will occur during a second time that is after the first time,   generating second image data representative of a second augmented reality image of the environment of the defined physical space at the second time based on the second environment data, and   sending, via the cellular communications network, the second image data to the user equipment to facilitate displaying the second augmented reality image.   
     
     
         17 . The non-transitory machine-readable medium of  claim 16 , wherein predicting the future change is based on information representative of a planned construction associated with the defined physical space. 
     
     
         18 . The non-transitory machine-readable medium of  claim 16 , wherein predicting the future change is based on information representative of a traffic trend in a defined region associated with the defined physical space. 
     
     
         19 . The non-transitory machine-readable medium of  claim 16 , wherein predicting the future change is based on information representative of a population trend in a defined region associated with the defined physical space. 
     
     
         20 . The non-transitory machine-readable medium of  claim 16 , wherein the first time is a first defined portion of a day and the second time is a second defined portion of the day exclusive of the first defined portion.