Facial Recognition Backup Search System
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Solution Overview
Problem
Companies face challenges in efficiently managing and protecting growing volumes of data across their networks, including the need for reliable backup solutions that minimize productivity impact and effectively leverage data for analysis and access, while dealing with data redundancy and storage costs.
Innovation Solution
A data storage system that enables targeted searches of backup data, allowing for event-specific or user-specific queries, and employs techniques for processing, storing, and retrieving data efficiently, using a scalable information management system with components like storage managers, data agents, and media agents to create and manage secondary copies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If companies back up critical computing systems and employee devices, then data protection and reliability are improved, but storage costs and device complexity increase
Solution Approach 1:
The system segments backup data into organized categories (event-specific, user-specific, department-specific) with hierarchical folder structures. Each segment is independently searchable and manageable, reducing overall system complexity while maintaining comprehensive data protection
Solution Approach 2:
The patent introduces an intermediary search system that acts as a mediator between users and the complex backup storage infrastructure. This search interface simplifies access to backup data without requiring users to understand the underlying storage complexity, resolving the contradiction between reliable backup and system complexity
2Quantity of substance
If companies migrate data to lower-cost storage, then storage costs are reduced, but data access time and retrieval speed worsen
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing backup data during the backup operation itself. Searchable metadata, facial recognition data, and event tags are extracted and organized in advance, enabling rapid retrieval from lower-cost storage without sacrificing access speed
Solution Approach 2:
The patent adds another dimension to data organization by implementing multi-dimensional search capabilities (user, event, department, time period, facial recognition). This allows efficient retrieval from distributed lower-cost storage by searching across multiple organizational dimensions simultaneously rather than sequential file access
3Productivity
If companies perform comprehensive data analysis and leverage stored data, then data value and productivity are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis during data ingestion and backup, pre-computing facial recognition data, event tags, user associations, and department categorizations. This preliminary processing enables rapid data analysis and retrieval without requiring time-consuming processing during query operations
Solution Approach 2:
The patent replaces traditional mechanical search methods with advanced information retrieval techniques including facial recognition algorithms, natural language processing for event tagging, and intelligent metadata extraction. These substitutions enable comprehensive data analysis with reduced processing time by automating complex pattern recognition tasks
Data Source
AI summary
This application relates to targeted search of backup data. A data storage system can provide a targeted search of backup data using facial recognition. Upon receiving a search query that identifies a specific user whose profile is stored in a user database, the data storage system can retrieve a profile photograph of the specific user, perform facial recognition on photographs included in the backup data, and output a search result including a set of photographs in the backup data that match the facial features of the specific user.