Distributed Server Network Image Decoder for Data Storage Optimization
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Solution Overview
Problem
Current data scanning and analysis systems lack efficiency and security in processing user input data, particularly in distributed server networks, as they often require resource-intensive image file storage and lack transparent validation processes.
Innovation Solution
A distributed server network system with embedded image decoders, utilizing optical character recognition (OCR) and machine learning to analyze image data, convert it into text format, and validate the data for secure storage within a distributed register, reducing storage requirements and enhancing data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data is stored directly in the distributed register, then complete user input data is preserved, but storage requirements and computational resources increase significantly
Solution Approach 1:
The patent extracts only the essential information from image data by implementing an OCR component that converts image data into text format. The system stores the converted text data in the distributed register rather than the original image files, thereby reducing storage requirements while preserving the critical information content needed for data integrity and validation.
2Productivity
If traditional data scanning systems are used, then image data processing is performed, but efficiency and security are insufficient
Solution Approach 1:
The patent introduces an intermediary validation process between data input and storage. The system implements a validation mechanism that verifies data integrity and security requirements before appending data to the distributed register. This intermediary layer enhances both security and efficiency by preventing invalid or malicious data from being processed further, thereby reducing the computational burden on the network.
3Loss of information
If image data is processed without conversion, then original data format is maintained, but storage efficiency decreases and validation becomes less transparent
Solution Approach 1:
The patent changes the parameter of data format from image format to text format through OCR conversion. This parameter change simplifies the validation process because text data is inherently more transparent and easier to verify than binary image data. The conversion maintains information integrity by preserving the textual content while making the data structure more amenable to validation algorithms in the distributed register.
Data Source
AI summary
A system is provided for a distributed server network with embedded image decoder as a chain code program runtime event. In particular, the system may comprise a distributed computing network comprising one or more decentralized nodes, each of which may store a separate copy of a distributed data register. The system may further comprise one or more specialized nodes which receive, assess, and analyze user input data, where the one or more specialized nodes may include a client identity node comprising an embedded image decoder which may be configured to analyze image portions of the user input data. Once the image data has been analyzed, the client identity node may convert the image data into a text format for storage within the distributed register.