The Verification Pipeline
When you submit media to Extra Scoop, Silicon Trust™ executes a multi-stage inspection and sealing process:1. Decentralised Synthetic Media & Deepfake Detection Flow
Every image and video upload is routed through an independent, decentralised detection oracle network before appearing on the public wire. The oracle network operates distinct analysis pipelines based on media format:Still Photography Inspection Pipeline
- Frequency Domain & Spectral Analysis: Evaluates the spatial and frequency distributions across raw pixel matrices to detect characteristic noise patterns left by generative diffusion and GAN models.
- Pixel Edge & Blending Verification: Inspects foreground-to-background transition boundaries, compression discontinuities, and artificial blending artefacts.
Video Stream Inspection Pipeline
- Temporal Coherence Analysis: Compares consecutive video frames to identify micro-jitter, warping, and frame-to-frame inconsistencies typical of generative video models.
- Facial & Biological Consistency: Validates natural eye movement, blinking intervals, skin texture variation, and lighting reflections across subjects in the scene.
- Audio-Visual Synchronisation: Inspects waveform alignment between microphone input and visual vocal tract movements to detect synthetic voice cloning or audio dubbing.
Automated Quarantine vs Verification Approval
2. Provenance Sealing Pipeline
Media that clears the synthetic detection oracle passes into the automated sealing pipeline:- Neural Watermarking: An invisible, imperceptible watermark is embedded across the luminance channels of the asset. The watermark encodes the unique scoop identifier and creator signature.
- Forward Error Correction: The watermark incorporates forward error correction algorithms, ensuring the provenance signature survives social media compression, screen recording, and broadcast re-encoding.
- C2PA Manifest Injection: A cryptographically signed Coalition for Content Provenance and Authenticity (C2PA) manifest is injected into the container, certifying camera parameters and capture timestamps.
3. Provenance Invariance (Raw File Purge)
To guarantee that unwatermarked source material cannot leak or be scraped without authorization, the platform enforces Provenance Invariance:- The sealing service verifies that the protected, watermarked asset exists and is intact.
- The protected asset replaces the raw asset on the distribution wire.
- The platform permanently purges the unwatermarked source file from primary storage.