Automated IP Infringement Detection System
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Solution Overview
Problem
Current methods for policing intellectual property rights, such as patent and trademark infringement, are manual and costly, making it difficult for businesses to effectively identify and address infringers due to the vast amount of data and complexity involved.
Innovation Solution
An architecture that aggregates, analyzes, and presents intellectual property and business data through a cloud-based service, utilizing search engines and analysis modules to facilitate keyword, concept, and claim signature searches, enabling efficient identification of potential infringers and portfolio analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to police intellectual property rights and identify infringers, then thorough analysis can be performed, but the process becomes prohibitively difficult and expensive
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computer-based systems. Search engines automatically crawl the web for infringing content using configured search terms and criteria, eliminating the need for manual review of search results. The system automates the entire workflow from data collection to analysis, transforming a labor-intensive manual process into an automated electronic system that can handle large volumes of data efficiently
Solution Approach 2:
The patent introduces an intermediary automated analysis system that acts as a bridge between raw search data and final infringement determination. The system uses configured search parameters, automated crawling, and structured analysis workflows to mediate between the complexity of web data and the need for accurate infringement identification, reducing both cost and complexity while maintaining detection accuracy
2Measurement precision
If comprehensive data analysis is performed to identify all potential infringers, then detection accuracy improves, but the time and resources required increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-configuring search parameters, search terms, and analysis criteria before initiating the search process. Users set up their infringement detection profiles in advance with specific keywords, industries, and geographic regions. The system then automatically executes searches using these pre-configured parameters, eliminating the need for time-consuming manual analysis and enabling rapid deployment of comprehensive monitoring
Solution Approach 2:
The patent implements continuous automated searching and analysis that operates without interruption. The system continuously crawls the web, updates search results, and monitors for new infringing content in real-time. This continuous automated process replaces intermittent manual analysis, significantly reducing the time required to identify infringers while maintaining comprehensive detection coverage through persistent monitoring
3Productivity
If automated search systems are implemented to identify infringers, then productivity increases, but the complexity of managing and analyzing the data results increases
Solution Approach 1:
The patent segments the complex data analysis process into distinct modular components: search configuration, automated crawling, result filtering, analysis workflows, and reporting. Each module handles a specific aspect of the data management process independently. This segmentation allows users to configure and manage each component separately, reducing the overall complexity of managing automated search systems while maintaining high productivity through coordinated operation of the segmented modules
Data Source
AI summary
Computer processor generated analysis and presentation of patent and business data in a common interface is described. The aggregation and analysis includes a method and system for evaluating a patent or patent application and proposed claim text by examining claim related information maintained in databases as well as image related information maintained in databases. The method includes deriving unique signatures of individual claims and ascertaining scope of individual claims relative to other claims in a collection, such as claims found in a classification schema and also deriving unique characteristics from images and ascertaining the scope of similarity between the images. A signature and scope of the patent claims and images may be graphically depicted to a user using various graphic elements in a user interface.