Frame Slicing Machine for Digital Image Authenticity

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Solution Overview

Problem

Current digital image processing technologies lack efficient methods for extracting and verifying the authenticity of individual frames from digital movies, especially in high-resolution formats, and do not provide reliable provenance and chain of custody tracking.

Innovation Solution

A system that includes a frame slicing and packaging machine with AI-driven units for object detection, recognition, and metadata assignment, generating cryptographic hashes, and adding watermarks to ensure the authenticity and provenance of image products, which are stored in a blockchain for secure transaction processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional digital image processing methods are used to extract frames from digital movies, then frame extraction can be performed, but efficient extraction and verification of authenticity especially in high-resolution formats cannot be achieved

Engineering Contradiction:

Improveauthenticity verificationVSAvoidframe extraction efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by generating cryptographic hashes and adding watermarks to frames during the extraction process itself, rather than requiring separate verification steps later. This preliminary authentication embedded in the extraction workflow enables both efficient extraction and reliable verification simultaneously.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Cryptographic hashes and watermarks serve as intermediary elements that bridge frame extraction and authenticity verification. These intermediaries are generated during extraction and used later for verification, resolving the contradiction by enabling both functions through a mediating authentication mechanism.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If high-resolution video display technology is used to display images with detailed texture, then image quality with texture details is improved, but processing and verification complexity increases

Engineering Contradiction:

Improveimage qualityVSAvoidprocessing complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The authentication process is segmented into distinct components: frame extraction, cryptographic hash generation, watermark addition, and blockchain registration. This segmentation allows high-resolution image processing to be separated from authentication processing, managing complexity while maintaining image quality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Traditional manual or complex mechanical verification methods are replaced with cryptographic algorithms and blockchain technology. This substitution provides automated, reliable verification for high-resolution images without proportionally increasing processing complexity, as the cryptographic operations are computationally efficient.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If individual frames are extracted from digital movies for inventory, then image products can be created, but reliable provenance and chain of custody tracking cannot be provided

Engineering Contradiction:

Improveimage product creationVSAvoidprovenance information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

Provenance information is captured preliminarily during frame extraction by generating cryptographic hashes and adding watermarks that encode origin data. This preliminary capture of provenance information prevents information loss while enabling versatile image product creation, as the authentication data is embedded before any further processing or distribution.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates cryptographic copies (hashes) of frame data that serve as immutable records of provenance. These cryptographic copies are stored in blockchain, providing reliable chain of custody tracking without interfering with the creation and distribution of actual image products.

Inventive Principle:

Principle #26Copying

4Reliability

If cryptographic hashes and watermarks are added to ensure authenticity, then reliability of image products is improved, but processing time and system complexity increase

Engineering Contradiction:

ImproveauthenticityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The authentication process operates continuously during frame extraction rather than as a separate post-processing step. Cryptographic hashes are generated and watermarks are added in real-time as frames are extracted, maintaining continuity of useful action and minimizing additional processing time while ensuring authenticity.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS10296729B1Manufacture of inventories of image products

Publication Date: 2019.05.21 EIGHT PLUS VENTURES LLC

AI summary

There are disclosed methods and apparatus for manufacture of image inventories. A production and packaging machine applies derivations to still images from image products. It assigns metadata to the derivative images. The production and packaging machine then generates a cryptographic hash of the derivative image and the metadata to produce a derivative image product, and writes the hash to a node of a transaction processing network.