100%
True Causality
Secure Enclave + satellite spacetime co-signing ensures every capture is non-repudiable and tamper-evident.
TruthStamp unifies hardware-grade spacetime attestation with neural residual forensics to build a verifiable, traceable, and auditable trust substrate for the AI era.
100%
Secure Enclave + satellite spacetime co-signing ensures every capture is non-repudiable and tamper-evident.
0%
Physics-aware metadata calibration protects authentic captures from false alarms.
97.4%
IFAKE CNN captures generation artifacts at frequency-domain granularity, including repaint and inpainting traces.
Section 3 · Technical Deep Dive
The full chain starts from capture-time co-signing and ends in residual + neural evidence fusion.
At shutter moment, GPS, NTP trusted time, and photo binary stream co-generate a SHA-256 forensic hash.
Recompression residual maps expose even 1-pixel text/date modifications and local overwrite spikes.
CNN embeddings identify diffusion and upsampling artifact grids that remain invisible to naked eyes.
Section 4 · Enterprise Solutions
High-value sectors deploy TruthStamp to prevent post-event tampering and evidence disputes.
Certify the spacetime authenticity of legal evidence photos and on-site capture chains for court defense.
Validate field inspection photos in vehicle/property claims and block altered-image fraud attempts.
Lock item condition with instant proof snapshots to reduce malicious item-switch and dispute risk.
Section 5 · Developer Hub
Send hash or image evidence to truthstamp.cn and receive machine-verifiable security conclusions.
Mock Code Editor
1 import requests
2 payload = {"hash": "sha256:ab12...9f"}
3 r = requests.post("https://truthstamp.cn/api/verify", json=payload)
4 print(r.json()["conclusion"])
5
6 const body = { hash: "sha256:ab12...9f" };
7 const res = await fetch("https://truthstamp.cn/api/verify", {
8 method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(body)
9 });
10 console.log((await res.json()).risk_level);
Compression-residual fields reveal pixel discontinuities and local compositing artifacts.
Source fingerprints are embedded under perceptual transparency for trusted provenance.
Texture statistics and convolutional embeddings identify generative forgery patterns.
Section 6 · Trust & Compliance
Transparent disclosure links for enterprise procurement and public trust review.
Copyright © 2026 Nanjing Jiangbei New Area Yunjie Technology Studio | ICP filing in progress