Automated Annoying Document Detection via OCR and Criteria Matching
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Solution Overview
Problem
Current methods for detecting and rejecting undesirable Internet advertisements, such as those with offensive language or annoying actions, are inefficient due to the time and expense associated with manual review systems.
Innovation Solution
A system and method for automatically evaluating documents by comparing them to predefined criteria for displeasing visual, audio, or textual elements, using image and audio processors to identify and rate advertisements, allowing for automatic approval or rejection without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review systems are used to detect annoying advertisements, then detection accuracy is improved, but processing time and expense increase significantly
Solution Approach 1:
The patent replaces the mechanical manual review system with an automated computer-based system that uses optical character recognition (OCR) to detect text in advertisements and automatically compares the text against a database of known annoying terms and phrases. This substitution eliminates human reviewers while maintaining detection accuracy through systematic automated analysis.
Solution Approach 2:
The system creates a digital copy of the advertisement content through OCR technology, converting visual text into machine-readable format. This copy can then be efficiently searched and compared against databases of problematic content without requiring physical or manual examination of each advertisement.
2Measurement precision
If manual review systems are used to detect annoying advertisements, then detection accuracy is improved, but operational expense increases significantly
Solution Approach 1:
The patent replaces expensive human manual review operations with automated computer-based processing. The system uses OCR software, database search algorithms, and automated decision-making logic to perform detection functions that previously required paid human reviewers, thereby significantly reducing operational expenses while maintaining detection effectiveness.
Solution Approach 2:
The system is designed to autonomously perform the entire detection process without human intervention. The automated OCR technology extracts text, the system automatically compares it against databases of problematic content, and the system independently makes approval or rejection decisions, eliminating the need for human labor costs entirely.
3Productivity
If automated processing is implemented to reduce manual review costs, then productivity is improved, but detection precision may deteriorate
Solution Approach 1:
The patent implements automated OCR-based text extraction and database comparison systems that can process large volumes of advertisements rapidly. The automated system maintains precision by using sophisticated pattern matching algorithms and comprehensive databases of problematic terms, ensuring accurate detection even at high processing speeds and volumes.
Data Source
AI summary
A system and method for evaluating documents for approval or rejection and/or rating. The method comprises comparing the document to one or more criteria determining whether the document contains an element that is substantially identical to one or more of a visual element, an audio element or a textual element that is determined to be displeasing.