With deepfakes becoming increasingly convincing, I’ve been exploring camera-native image authentication: using a camera’s hardware to cryptographically hash images at capture and immediately record to a blockchain for tamper-proof traceability.
Technical approach: Camera firmware pipes raw image data directly to a secure element (tamper-proof chip) before any processing. SHA-256 hash is signed with camera’s private key and broadcasted to public blockchain. Any post-capture modification becomes instantly detectable via hash mismatch.
Two questions I’m trying to validate:
1. Do professional photographers (photojournalists, legal/insurance work, forensics) face authentication challenges that current methods (EXIF, C2PA content credentials) don’t adequately solve?
2. Is this the right technical approach, or are there better alternatives for establishing tamper-proof provenance at the point of capture?
Trade-offs I’m considering:
– Camera cost increase (secure element + wireless)
– Battery impact from blockchain transactions (batching possible but introduces verification delay)
– Privacy (public ledger, though camera ID could be anonymized)
– User experience (always-on vs optional)
I’ve published the architectural design here: https://www.linkedin.com/pulse/invention-disclosure-camera-native-blockchain-digital-ryan-m-sc–dc3zc/?trackingId=y%2BCvoxtyS5urWcTFMQM7%2Bg%3D%3D
It’s architectural-level rather than implementation-ready – covers system design, component requirements, and process flow.
This was published as prior art to prevent monopolization. Any meaningful improvements suggested here will also be documented publicly to keep the entire design space open. My goal is solving the problem, not controlling the solution.
I’m curious about both market validation and technical critique. Is this solving a real problem, or solution looking for a use case?
Comments URL: https://news.ycombinator.com/item?id=45781008
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Source: news.ycombinator.com
