About the work
A detection system for identifying AI-generated media by measuring hyper-perfection patterns absent in natural content.
It analyzes micro-variations in audio, video, and images—such as jitter, shimmer, pixel entropy, texture variance, and motion irregularities—comparing them to natural-variance thresholds.
Applications include security, digital forensics, and misinformation control.
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Title HYPER-PERFECTION DETECTION SYSTEM FOR AI-GENERATED CONTENT – Provisional Technical Specification
A detection system for identifying AI-generated media by measuring hyper-perfection patterns absent in natural content.
It analyzes micro-variations in audio, video, and images—such as jitter, shimmer, pixel entropy, texture variance, and motion irregularities—comparing them to natural-variance thresholds.
Applications include security, digital forensics, and misinformation control.
Work type Technical
Tags asf–p, sscf, patent, semeiotics, timestamp, healthtech, semiotics, semiosuit, uncanny flagger, diagnostic algorithm, medcore, hsce, wearable diagnostics, smart textiles, artificial intelligence, clinical ai, biometric sensors, intellectual property, veterinary tech
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Registry info in Safe Creative
Identifier 2508132768501
Entry date Aug 13, 2025, 9:48 AM UTC
License All rights reserved
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Author. Holder Luisa Manzella. Date Aug 13, 2025.
Information available at https://www.safecreative.org/work/2508132768501-hyper-perfection-detection-system-for-ai-generated-content-provisional-technical-specification
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Registration: 2508132768501
