Image-to-Text Conversion for Compliance Analysis
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Solution Overview
Problem
Online service providers face challenges in detecting noncompliant message content, as users often employ coded messages with graphical images that are not immediately apparent to automated compliance systems, potentially hiding illicit activities.
Innovation Solution
An intelligent system utilizing machine learning and neural networks to convert graphical images, such as emojis and symbols, into corresponding target keywords, allowing compliance systems to analyze messages in plain text and identify noncompliant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated compliance systems analyze messages using traditional text-based methods, then the system complexity remains low, but the system cannot detect coded messages containing graphical images
Solution Approach 1:
The patent introduces an image-to-text conversion system as an intermediary between the graphical message content and the compliance analysis system. This converter translates emojis, symbols, and graphical images into their textual equivalents, enabling traditional text-based compliance systems to analyze coded messages without requiring complete system redesign.
Solution Approach 2:
The patent replaces the need for complex visual analysis mechanisms with a simpler text-based processing approach. By converting graphical elements into text, the system substitutes sophisticated image recognition requirements with standard text analysis capabilities, reducing overall system complexity while maintaining detection effectiveness.
2Reliability
If the service provider implements comprehensive monitoring of all messages, then compliance enforcement improves, but user privacy and communication freedom are compromised
Solution Approach 1:
The patent implements partial monitoring by focusing compliance analysis only on messages containing graphical images that require conversion. Rather than analyzing every message in detail, the system selectively applies image-to-text conversion and compliance checking to suspicious or coded messages, reducing unnecessary privacy intrusion while maintaining effective compliance enforcement.
3Measurement precision
If the system converts all graphical images to text for analysis, then message content detection accuracy improves, but processing time increases
Solution Approach 1:
The system applies image-to-text conversion selectively rather than universally. It focuses conversion resources on messages containing graphical images that may indicate coded content, while allowing straightforward text messages to pass through with minimal processing. This partial action approach maintains high detection accuracy for suspicious messages while reducing overall processing time.
Solution Approach 2:
The system performs preliminary filtering to identify messages containing graphical images before applying the full conversion and analysis process. This preliminary action allows the system to prepare for targeted conversion only when necessary, reducing unnecessary processing time for clear-text messages while maintaining readiness to accurately analyze coded messages when detected.
Data Source
AI summary
There are provided systems and methods for intelligent analysis of digital symbols for message content determination. A user may engage in messaging with another user, such as using a messaging platform that may include electronic transaction processing through a service provider. The service provider may have compliance rules, such as to avoid illegal, fraudulent, or otherwise noncompliant electronic transaction processing. In this regard, messaging between users may be analyzed to detect noncompliant messaging and activities by users on the service provider's platforms. The messages may include graphical images or icons, which may be converted to text so that plain text of the message may be analyzed. This may be done through a mapping of images-to-text, as well as an artificial intelligence model train to convert images into text. Thereafter, the plain text may be analyzed to determine if the message violates any compliance rules.