Timestamped Data Tagging for Cross-Source Retrieval
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Solution Overview
Problem
Conventional computer systems lack an efficient method for collecting, processing, and retrieving data from multiple sources, such as audio, video, location, and user interactions, which are often unrelated and difficult to search and associate effectively.
Innovation Solution
A system and method that employs sensors to collect primary data like audio and video, and secondary data like location and movement, and generates searchable tags based on the content, allowing for efficient data association and retrieval by date, time, or event occurrence, using a database for storage and querying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional computer systems store data from different input devices separately, then data storage is simple, but data association and retrieval efficiency deteriorates
Solution Approach 1:
The patent combines multiple unrelated data sources (audio, video, location, user interactions) into a unified database structure where all data are stored together with shared timestamp indices, enabling efficient cross-data retrieval while maintaining organizational simplicity
Solution Approach 2:
The database system is designed to handle multiple types of data (audio files, video files, location data, interaction data) using a universal tagging and indexing mechanism based on timestamps, allowing the same retrieval system to efficiently access any data type through common search criteria
2Reliability
If multiple data sources are collected simultaneously, then data completeness improves, but data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically generating timestamp tags for all collected data at the moment of collection and pre-establishing the relational structure in the database, so that when retrieval is needed, the data is already organized and tagged, eliminating the need for complex post-processing
Solution Approach 2:
The patent introduces timestamps as an intermediary element that mediates between multiple data sources. All data (audio, video, location, interactions) are tagged with timestamps, which serve as a common language and organizing principle, simplifying the processing of heterogeneous data by providing a unified indexing mechanism
3Measurement precision
If data is tagged with multiple searchable attributes, then data retrieval accuracy improves, but data processing time increases
Solution Approach 1:
The system generates all searchable tags (timestamps, data type identifiers, source identifiers) at the moment of data collection and stores them pre-indexed in the database. This preliminary tagging eliminates the need for time-consuming analysis during retrieval operations, as the searchable attributes are already prepared and indexed
Solution Approach 2:
The patent segments the tagging process into distinct, simple components (timestamp tags, data type tags, source tags) that are generated independently and stored separately in the database structure. This segmentation allows for efficient indexing and quick retrieval without requiring complex integrated processing
Data Source
AI summary
Systems and methods may provide collection of data and association of searchable tags with the collected data. In an embodiment, a system may include at least one sensor configured to collect a primary data, and a processor configured to date and/or time stamp the primary data, to generate at least one searchable tag based on content of the primary data, and to associate the at least one searchable tag with the date and/or time-stamped primary data. Additionally, systems and methods may provide retrieval of primary data from a database based at least in part on tags that match at least part of a query. In an embodiment, the retrieved data may include at least one matching tag.