Apparatus and method for object classification based on imagery

Abstract

Aspects of the subject disclosure may include, for example, identifying a first object included in at least one image in accordance with an execution of an image processing algorithm, analyzing a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object, selecting one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object, and presenting the selected object on a presentation device. Other embodiments are disclosed.

What is claimed is: 
     
         1 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
 obtaining a plurality of images, wherein the plurality of images is captured by a vehicle, a user equipment, or any combination thereof;   identifying a first object included in the plurality of images via an application of the plurality of images to at least one model that comprises a machine learning model;   identifying at least one attribute associated with the first object responsive to the identifying of the first object;   generating a recommendation that identifies the first object or a second object for receiving a network resource responsive to the identifying of the at least one attribute; and   presenting the recommendation on a presentation device.   
     
     
         2 . The non-transitory machine-readable medium of  claim 1 , wherein the at least one attribute comprises a geographical location of the first object. 
     
     
         3 . The non-transitory machine-readable medium of  claim 1 , wherein the identifying of the first object comprises identifying the first object as one of a building, a pole, or a tower. 
     
     
         4 . The non-transitory machine-readable medium of  claim 1 , wherein the network resource comprises an antenna, a transmitter, a receiver, or any combination thereof. 
     
     
         5 . The non-transitory machine-readable medium of  claim 1 , wherein the presentation device comprises a display device, a speaker, a print-out, or any combination thereof. 
     
     
         6 . The non-transitory machine-readable medium of  claim 1 , wherein the network resource is associated with a communication system. 
     
     
         7 . The non-transitory machine-readable medium of  claim 6 , wherein the operations further comprise:
 obtaining data associated with at least one signal quality parameter of the communication system, wherein the at least one signal quality parameter refers to a received signal strength, interference, noise, or any combination thereof,   wherein the generating of the recommendation that identifies the first object or the second object for receiving the network resource is further responsive to an analysis of the data.   
     
     
         8 . The non-transitory machine-readable medium of  claim 1 , wherein the operations further comprise:
 modifying the at least one model subsequent to a deployment of the network resource about the first object or the second object to generate a modified model, wherein the modified model is based on an operating parameter of the network resource.   
     
     
         9 . The non-transitory machine-readable medium of  claim 8 , wherein the operations further comprise:
 obtaining a second plurality of images subsequent to the modifying of the at least one model;   identifying a third object included in the second plurality of images via an application of the second plurality of images to the modified model;   identifying an attribute associated with the third object responsive to the identifying of the third object;   generating a second recommendation that identifies the first object, the second object, or the third object for receiving a second network resource responsive to the identifying of the attribute associated with the third object; and   presenting the second recommendation on the presentation device.   
     
     
         10 . A method, comprising:
 identifying, by a processing system including a processor, a first object included in at least one image in accordance with an execution of an image processing algorithm;   analyzing, by the processing system, a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object;   selecting, by the processing system, one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object; and   presenting, by the processing system, the selected object on a presentation device.   
     
     
         11 . The method of  claim 10 , wherein the image processing algorithm filters background noise included in the at least one image. 
     
     
         12 . The method of  claim 10 , further comprising:
 identifying, by the processing system, a third object in the at least one image; and   analyzing, by the processing system, data that identifies a restriction with respect to a placement of the at least one communication network resource about the third object,   wherein the selecting of the one of the first object or the second object for receiving the at least one communication network resource is further responsive to the analyzing of the data.   
     
     
         13 . The method of  claim 10 , wherein the identifying of the first object comprises identifying the first object as one of a building, a pole, or a tower. 
     
     
         14 . The method of  claim 10 , wherein the at least one communication network resource comprises an antenna, a transmitter, and a receiver. 
     
     
         15 . The method of  claim 10 , further comprising:
 obtaining, by the processing system, data associated with at least one signal quality parameter, wherein the at least one signal quality parameter refers to a received signal strength, interference, noise, or any combination thereof,   wherein the selecting is further responsive to an analysis of the data.   
     
     
         16 . The method of  claim 10 , further comprising:
 modifying, by the processing system, the at least one model subsequent to a deployment of the at least one communication network resource about the selected object to generate a modified model.   
     
     
         17 . The method of  claim 16 , wherein the modified model is based on an operating parameter of the at least one communication network resource. 
     
     
         18 . A device comprising:
 a processing system including a processor; and   a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:   obtaining an image;   identifying, based on the obtaining, a first object included in the image via an application of the image to a model;   identifying at least one attribute associated with the first object responsive to the identifying of the first object;   generating a recommendation that identifies the first object or a second object for receiving a network resource responsive to the identifying of the at least one attribute; and   providing the recommendation to a presentation device to cause the presentation device to present the recommendation.   
     
     
         19 . The device of  claim 18 , wherein the operations further comprise:
 obtaining data associated with at least one signal quality parameter,   wherein the generating of the recommendation that identifies the first object or the second object for receiving the network resource is further responsive to an analysis of the data.   
     
     
         20 . The device of  claim 19 , wherein the at least one signal quality parameter refers to a received signal strength, interference, and noise.