Automated Digital Asset Variance Detection System
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Solution Overview
Problem
Enterprises face challenges in maintaining and monitoring multiple public-facing websites, leading to inaccurate content and potential risks due to the lack of an automated solution for ensuring accuracy across all online digital assets from a content and visual perspective.
Innovation Solution
A system and method for automated monitoring and maintenance of online digital assets using multiple comparison methods alongside a rules-based engine to identify differences, reducing human error and labor costs, and providing a platform for auditing digital content and detecting variances in web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and management methods are used for enterprise websites, then flexibility and adaptability are maintained, but accuracy and reliability of content deteriorate due to human error and resource constraints
Solution Approach 1:
The patent replaces manual mechanical review processes with automated computer-based systems that use optical character recognition, image processing, and algorithmic comparison to detect content discrepancies. This substitution eliminates human error while maintaining systematic monitoring capabilities.
Solution Approach 2:
The system creates digital copies of website content at different points in time and compares these copies automatically. By maintaining versioned copies of promotional materials, legal disclaimers, and other digital assets, the system can detect unauthorized changes without requiring manual verification of each change.
2Measurement precision
If automated monitoring systems are implemented to ensure content accuracy, then reliability and precision improve, but device complexity and initial resource investment increase
Solution Approach 1:
The monitoring system is divided into modular functional components: content capture modules, comparison engines, notification systems, and reporting tools. Each module performs a specific function independently, allowing the system to achieve high precision through specialized algorithms while managing complexity through modular architecture.
Solution Approach 2:
The automated system is designed to monitor multiple types of digital assets (websites, mobile apps, social media) across various platforms using the same core comparison technology. This multi-functionality allows enterprises to deploy a single system that handles diverse content verification needs, reducing overall system complexity.
3Productivity
If multiple public-facing websites are maintained without automated solutions, then operational flexibility is preserved, but productivity and efficiency deteriorate due to significant resource requirements
Solution Approach 1:
The system enables self-service monitoring where the automated comparison engine independently identifies discrepancies and generates notifications without requiring continuous human intervention. Once configured, the system autonomously performs content verification across multiple websites, significantly improving productivity while the modular design keeps complexity manageable.
Data Source
AI summary
Systems and methods for automatic detection of variances in digital assets such as web pages are provided. User interface screens are generated by the system for allowing a user to review a target digital asset and to select portions of the digital asset for automatic variance detection by the system. The system then monitors the selected portions of the digital asset (or, the entire digital asset) for variances, and automatically generates reports indicating detected variances.