Exterior Access Verification for 5G Service Qualification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for qualifying units in multi-unit buildings for 5G wireless network service often result in false positives due to general availability assessments, leading to wastage of resources and customer complaints, as they do not accurately consider the unit's exterior access features.
Innovation Solution
A service qualification platform that uses a building analysis model trained on historical images to identify exterior access features, such as openable windows and balconies, to determine an exterior accessibility score, thereby accurately qualifying units for wireless network service based on their actual access capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If general availability assessment is used to qualify units for 5G service, then service coverage can be broadly estimated, but false positives occur and resources are wasted
Solution Approach 1:
The patent segments the qualification process into two distinct stages: (1) general availability assessment at the building level using coverage maps, and (2) exterior access verification at the unit level using image analysis. This segmentation allows the system to efficiently filter buildings first, then apply more resource-intensive image analysis only to specific units within those buildings, resolving the contradiction between broad coverage estimation and accurate unit-level qualification.
Solution Approach 2:
The patent performs preliminary image analysis to identify exterior access features (windows, balconies, antennas) before final service qualification. By pre-identifying units with viable exterior access through image processing, the system avoids wasting resources on units that clearly lack necessary features, thereby improving both efficiency and accuracy in the subsequent qualification steps.
2Measurement precision
If exterior access features are analyzed for each unit, then qualification accuracy improves, but device complexity and processing time increase
Solution Approach 1:
The patent uses aerial images and coverage maps as copies or representations of the physical building and service areas. Instead of directly analyzing each unit's physical exterior, the system processes two-dimensional image copies that capture exterior features, significantly reducing the complexity of three-dimensional physical inspection while maintaining detection accuracy.
Solution Approach 2:
The patent replaces manual or mechanical exterior inspection methods with automated image processing and machine learning models. The building analysis model automatically identifies exterior access features from images, substituting complex mechanical or human inspection processes with computational algorithms, thereby reducing overall system complexity while improving measurement precision.
3Measurement precision
If manual inspection methods are used to verify exterior access, then detailed assessment is possible, but time consumption and resource wastage increase
Solution Approach 1:
The patent implements self-service qualification where the system automatically performs exterior access assessment using pre-existing aerial images and coverage maps. Units qualify themselves through the image analysis process without requiring manual inspection, eliminating time-consuming human intervention while maintaining accurate assessment of exterior access features.
Solution Approach 2:
The patent performs preliminary image analysis and exterior feature identification before final qualification decisions. By pre-processing images to identify windows, balconies, and antenna locations, the system prepares qualification data in advance, significantly reducing the time required for actual service qualification while maintaining detailed assessment accuracy.
Data Source
AI summary
A device may receive building location information associated with a multi-unit building. The device may obtain an image that depicts the multi-unit building. The device may process, using a building analysis model, the image to identify exterior access features of the multi-unit building. The building analysis model may be trained based on a plurality of historical images of other exterior access features. The device may determine, using a scoring system and based on a configuration of exterior access features that are identified by the building analysis model, an exterior accessibility score of the unit. The device may perform, based on the exterior accessibility score, an action associated with qualifying the unit for installation of a service that involves access, from the unit, to an exterior of the multi-unit building.