Blockchain-Verified Image Identity Capturing
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Solution Overview
Problem
Current systems are limited in ensuring that images are unmodified and provide true identities of objects or entities within them, lacking effective methods to guarantee the authenticity and immutability of embedded tags.
Innovation Solution
The use of entity beacon devices and a blockchain network with a verifier server system to capture and verify images with embedded immutable identities, employing time-based cryptographic hashing to generate secured representations of blockchain addresses, which are then embedded in images and verified through an interactive proving protocol.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional image tagging methods are used, then images can be processed and stored efficiently, but the authenticity and immutability of embedded identities cannot be guaranteed
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between image capture and identity verification. The blockchain network acts as a trusted mediator that receives image data with embedded identities, verifies them through consensus mechanisms, and stores immutable records. This intermediary system guarantees authenticity without requiring direct trust between all system components, resolving the contradiction by adding a specialized verification layer.
Solution Approach 2:
The patent replaces traditional mechanical/centralized verification systems with cryptographic and distributed ledger mechanisms. Instead of relying on centralized authorities to verify image authenticity, the system uses cryptographic hashing, digital signatures, and blockchain consensus algorithms. This substitution enables automated, trustless verification that guarantees identity authenticity without single-point failures.
2Reliability
If blockchain verification is implemented, then image authenticity and immutability are ensured, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary hashing and digital signing of image data and embedded identities before blockchain submission. By pre-computing cryptographic hashes and preparing verification data in advance, the system reduces the computational burden during actual blockchain verification. This preliminary processing ensures immutability while minimizing the time penalty associated with blockchain operations.
Solution Approach 2:
The patent extracts only the essential verification elements (cryptographic hashes, digital signatures, and critical metadata) from the complete image data for blockchain storage. Instead of storing entire images on the blockchain, the system stores compact verification proofs that can be quickly validated. This extraction approach maintains immutability guarantees while significantly reducing verification time and computational requirements.
3Reliability
If secured representations are embedded in all images, then tampering is prevented, but data storage requirements and processing overhead increase
Solution Approach 1:
The patent creates cryptographic copies (hashes and digital signatures) of image data and embedded identities rather than storing the original large-volume image files with embedded tags. These cryptographic copies serve as tamper-proof verification records that are much smaller in size. The original images can be stored separately with standard compression, while only the essential verification data consumes additional storage resources.
Solution Approach 2:
The patent applies secured representations selectively to critical elements within images rather than uniformly processing all data. The system identifies and secures only the essential identity tags and metadata that require tamper-proof verification, while allowing other image data to use more efficient storage formats. This localized application of security measures maintains tamper-proof guarantees for critical information while minimizing overall storage overhead.
Data Source
AI summary
Implementations of the disclosure are directed to capturing a time series of distributed ledger identities of entities and/or locations over time. In implementations, a method includes: capturing, at a device, a time series dataset, the time series dataset including: for each time of a plurality of times, a secured representation of a distributed ledger address in a beacon received by the device; using the device to make the time series dataset available to a distributed ledger network for verification; and receiving, at the device, confirmation from the distributed ledger network that the time series dataset was verified.