Automated Content Verification via Virtual Interface Navigation
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Solution Overview
Problem
Content providers face challenges in verifying the availability of content assets at the user level in video hosting and streaming systems, as existing systems only confirm the asset's presence on servers but not its accessibility on user devices.
Innovation Solution
A system and method that utilize a computing device to virtually access a user device's interface, navigate through menus using command files, and employ optical character recognition to confirm the presence and accessibility of content assets, generating verification data for remote analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing VHS systems are used to verify content asset availability, then the asset presence on servers can be confirmed, but the actual accessibility at user level cannot be verified
Solution Approach 1:
A computing device is introduced as an intermediary between the VHS system and user devices. This intermediary automatically navigates user device interfaces, searches for content assets, and verifies accessibility, thereby bridging the information gap between server-level verification and user-level accessibility confirmation without requiring manual intervention.
Solution Approach 2:
The computing device performs self-service verification by automatically executing navigation commands, searching for content assets, and generating verification data without human intervention. This automated self-verification process enables continuous monitoring of content accessibility at user level while reducing operational overhead.
2Reliability
If manual verification methods are used to check content asset accessibility, then user-level availability can be confirmed, but the process is time-consuming and cannot be performed on large scale
Solution Approach 1:
Manual mechanical verification processes are replaced with an automated computing device that uses electronic command files and optical character recognition (OCR) technology. The system automatically navigates interfaces, searches for content, and verifies accessibility, replacing time-consuming manual operations with rapid automated processes that maintain reliability while significantly increasing productivity.
Solution Approach 2:
Command files with predetermined navigation instructions are prepared in advance for different user device types and interfaces. This preliminary preparation enables the computing device to immediately execute verification tasks without requiring real-time decision-making, thereby accelerating the verification process while ensuring consistent and reliable results across multiple devices.
3Productivity
If automated computing devices are used to verify content accessibility, then verification speed and scale are improved, but system complexity increases
Solution Approach 1:
The verification system is segmented into distinct functional modules: command file management, interface navigation, optical character recognition, and verification data generation. This segmentation allows each component to be independently developed, tested, and maintained, reducing overall system complexity while enabling high-throughput automated verification through parallel processing capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and timely verification of content asset availability at the user level, providing real-time data on accessibility and availability for content providers, enhancing content delivery management and analytics.
Implementation Method 1
Using the commands and optical character recognition (OCR), the computing device can navigate the user interface and locate a title or other identifier of the content asset
Data Source
AI summary
The present disclosure relates to verifying that a content asset is present at a user level. The present disclosure provides video hosting and service (VHS) management systems and methods that can both accurately and timely verify availability of VHS content from multiple content providers using multiple distribution systems.


