[PR #2310] CRT Light Attestation 鈥?140 RTC

[kuanglaodi2-sudo]

CRT Light Attestation 鈥?Bounty Scottcjn#2310

Award: 140 RTC (+30 RTC Bonus)

Overview

This PR implements a complete CRT Light Attestation system that generates an unforgeable optical fingerprint from a CRT monitor. The attestation proves the physical presence of an authentic CRT display through analysis of:

• Phosphor decay characteristics 鈥?Unique exponential decay curves per phosphor type (P22, P43, etc.)
• Refresh rate drift 鈥?CRTs drift with age; each drifts uniquely
• Scanline timing jitter 鈥?Flyback transformer wear creates measurable timing variations
• Brightness nonlinearity 鈥?Aging electron guns show increased gamma

Why Unforgeable

• LCD/OLED monitors have zero phosphor decay 鈥?Instantly detected
• Each CRT ages uniquely 鈥?Electron gun wear, phosphor burn, flyback drift
• Virtual machines have no CRT 鈥?No phosphor, no refresh, no fingerprint
• A 20-year-old Trinitron sounds and looks different from a 20-year-old shadow mask

Implementation

Directory: ools/crt_attestation/

Files:

• crt_patterns.py 鈥?Deterministic visual pattern generators (checkered, gradient sweep, timing bars, phosphor burst)
• crt_capture.py 鈥?Webcam capture via OpenCV or photodiode capture via GPIO
• crt_analyzer.py 鈥?Signal analysis (FFT, phosphor decay curves, scanline jitter, brightness nonlinearity)
• crt_fingerprint.py 鈥?SHA-256 optical fingerprint hash generation
• crt_attestation.py 鈥?Main attestation workflow + CRT Gallery (bonus feature)
• README.md 鈥?Complete documentation

Usage

`python
from crt_attestation import create_attestation

result = create_attestation(
capture_method="webcam", # or "photodiode" or "simulated"
stated_refresh_rate=60.0,
)

print(f"CRT Fingerprint: {result.crt_fingerprint}")
print(f"Is Authentic CRT: {result.is_crt}")
print(f"Confidence: {result.confidence:.1%}")
`

Bonus Feature 鈥?CRT Gallery

Compare phosphor decay curves from different monitors:

`python
from crt_attestation import CRTGallery

gallery = CRTGallery()
gallery.add_sample("Sony_Trinitron", analysis_result)
gallery.add_sample("LG_Studio", analysis_result)
comparison = gallery.compare("Sony_Trinitron", "LG_Studio")
`

Technical Details

• Capture Methods: USB webcam (OpenCV) or photodiode + ADC (Raspberry Pi GPIO)
• Analysis: FFT frequency detection, exponential curve fitting, statistical jitter analysis
• Fingerprint: SHA-256 of quantized CRT characteristics (refresh rate, phosphor decay, timing jitter, gamma)
• Output: JSON with crt_fingerprint field for attestation submission

Wallet Address

C4c7r9WPsnEe6CUfegMU9M7ReHD1pWg8qeSfTBoRcLbg

---

Built for Rustchain Bounty Scottcjn#2310 鈥?CRT Light Attestation

[github-actions]

Welcome to RustChain! Thanks for your first pull request.

Before we review, please make sure:

• Your PR has a BCOS-L1 or BCOS-L2 label
• New code files include an SPDX license header
• You've tested your changes against the live node

Bounty tiers: Micro (1-10 RTC) | Standard (20-50) | Major (75-100) | Critical (100-150)

A maintainer will review your PR soon. Thanks for contributing!

[github-actions]

⚠️ BCOS v2 Scan Results

Metric	Value
Trust Score	58/100
Certificate ID	BCOS-ab5c7bb0
Tier	L1 (not met)

What does this mean?

The BCOS (Beacon Certified Open Source) engine scans for:

• SPDX license header compliance
• Known CVE vulnerabilities (OSV database)
• Static analysis findings (Semgrep)
• SBOM completeness
• Dependency freshness
• Test infrastructure evidence
• Review attestation tier

Full report | What is BCOS?

---

BCOS v2 Engine - Free & Open Source (MIT) - Elyan Labs

[github-actions]

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[github-actions]

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