Sensitive Information Tracking With Biometric and Image Data
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Solution Overview
Problem
Current tracking systems primarily focus on location and time, failing to provide detailed data that is crucial for effective management and correlation in situations involving people, animals, and objects, such as disaster response and livestock transfer.
Innovation Solution
A system and method for generating, storing, and accessing detailed data including location, image, and biometric data, with features like facial recognition, encryption, and data analysis, enabling secure and scalable tracking and data manipulation across multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If tracking systems only collect location and time data, then the system complexity is low and ease of operation is high, but the quantity of useful information is insufficient for effective management and correlation
Solution Approach 1:
The tracking system is designed to collect multiple types of data (location, time, images, biometric information, status data) through a single integrated system, allowing it to serve multiple purposes including identification, medical monitoring, livestock management, and security tracking without requiring separate specialized systems for each function
Solution Approach 2:
The system segments data collection into distinct categories (location data, image data, biometric data, status data) that can be independently processed, stored, and analyzed, allowing the complex information gathering function to be broken down into manageable components that can be handled separately
2Measurement precision
If detailed data including images and biometric information is collected and stored, then the measurement precision and identification accuracy are improved, but the use of energy and storage requirements increase
Solution Approach 1:
Biometric templates and identification data are pre-processed and stored in the system before actual identification events occur, allowing for rapid and accurate identification without requiring intensive real-time processing energy consumption during critical tracking moments
Solution Approach 2:
The system creates and stores digital copies of biometric data and images as templates, allowing for repeated identification and analysis without requiring repeated collection and processing of the original data, thereby reducing energy consumption during subsequent identification operations
Data Source
AI summary
A method of tracking an entity includes generating data relevant to the entity at a first location, storing the data at a server, and accessing at least a portion of the data at the first location or at a second location. The data can include location information, time information, image data, text, and/or biometric data. The data can be encrypted, organized, categorized, updated, accumulated with other data, classified, and/or disseminated, and an automated search can include an image feature recognition and facial recognition search. The entity can be a person, an animal, or an object. A communications system includes a processing device and a server that includes an automated search engine. The server can be configured to perform data analysis, such as data grouping.