AI Entity Identifying Military Personnel in Images
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Solution Overview
Problem
There is no comprehensive, publicly available database to identify present or former members of the U.S. armed services, making it difficult for businesses to target them for sales of goods and services, as existing methods lack efficient means to scan and analyze images for military personnel and their relatives across the internet.
Innovation Solution
A trained and activated artificial intelligence entity is implemented on a server to detect language, text, and audio in photo images, identifying members and relatives of the armed services by recognizing military uniforms, language, and other indicia, and storing this information in a database for commercial use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to identify military personnel and their relatives, then accuracy can be maintained, but time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual visual inspection and search methods with an automated AI-based system that uses machine learning models to detect military personnel and their relatives in images and text data from social media platforms, thereby eliminating time-consuming manual processes while maintaining identification accuracy
Solution Approach 2:
The system enables self-service operation where the AI entity autonomously scans, analyzes, and identifies military personnel and their relatives without requiring human intervention in the detection process, allowing the system to serve itself in the identification task
2Adaptability or versatility
If comprehensive database scanning is implemented, then identification coverage improves, but system complexity and data processing requirements increase
Solution Approach 1:
The AI entity is designed with multi-functionality to handle various types of data including images, text, and audio from multiple social media platforms simultaneously, allowing a single system to perform comprehensive identification across diverse data sources without requiring separate specialized systems for each data type
Solution Approach 2:
The system segments the complex identification task into distinct functional modules including image analysis, text processing, audio recognition, and data correlation, where each module handles specific aspects of the identification process independently, making the overall system more manageable and scalable
3Productivity
If social media data is scanned for military personnel identification, then potential customer identification improves, but data volume and processing requirements increase
Solution Approach 1:
The system extracts and focuses on specific relevant information such as military uniforms, insignias, and contextual clues from the vast amount of social media data, filtering out irrelevant content to process only the essential data needed for identification, thereby reducing the effective data volume while maintaining high lead generation efficiency
Data Source
AI summary
The present invention provides a method using a trained and activated artificial intelligence entity for detecting in photo images, moving or still, the identity of target people who are present or former members of the U.S. armed services, or are related thereto, from sources available through the Internet or other wide area computer network.