# OceanEye Sentinel (Gastón Chevarria)

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Gaston Chevarria](https://cerebralvalley.ai/u/gaston_ch27)
- **GitHub:** https://github.com/Gastonchevarria/oceaneye-evaluation
- **Demo video:** https://youtu.be/PRjXwWWaVrI
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3321

OceanEye Sentinel 2.0 is a neuro-symbolic orbital maritime intelligence and court-ready forensic platform engineered to detect "dark fleets" conducting Illegal, Unreported, and Unregulated (IUU) fishing at the Mile 201 boundary of the South Atlantic Exclusive Economic Zone ("Blue Hole"). When foreign industrial trawlers disable their mandatory AIS transponders beneath dense South Atlantic cloud cover and polar night, conventional optical satellites are rendered completely blind, while naive AI pipelines over-trigger on 6-meter storm wave Bragg scatter or hallucinate vessel kinematics.

OceanEye Sentinel 2.0 solves this by fusing European Space Agency Sentinel-1 C-Band Synthetic Aperture Radar (5.405 GHz dual-polarization VV+VH) with a deterministic 5-stage pipeline powered by four Meta AI models:

1. Stage 0 — LAYA CPU Physical Triage: Applies adaptive Cell-Averaging Constant False Alarm Rate (CA-CFAR) radar physics across an 8x8 spatial tile grid in 9.12 ms total (1.49 ms/tile on CPU), rejecting 59/64 empty ocean tiles and saving 44% of downstream GPU compute before neural invocation.

2. Stage 1 — Meta SAM 3.1 & Muse Image 1.0 Visual Gate (Gate A): Conditions dual-pol SAR backscatter chips and extracts sub-pixel metallic hull masks (+51.6 dB dihedral radar cross-section), achieving 10/10 true vessel recall and 0/10 false positives across rough-sea wave-clutter controls.

3. Stage 2 — Dual-Tier Meta AI Reasoning (Muse Spark 1.3 + Muse Wonder 1.0): Routes urgent tactical intercepts through Muse Spark 1.3 (11.7s average triage latency) and escalates multi-vessel high-seas transshipment ("reefer") encounters to Muse Wonder 1.0 for deep forensic synthesis.

4. Stage 3 — Deterministic Neuro-Symbolic Physical Validator: Audits every LLM output against three hard physical and legal constraints (metallic RCS threshold > +50 dB, vessel kinematic ceiling <= 28 kn, and UNCLOS Mile 201 geodesic boundary) using a deterministic 100 - 15n compliance scoring formula. Across our n=30 reproducibility benchmark at temperature 0.1, Muse Wonder 1.0 achieved an 86.7% (26/30) clean pre-validator pass rate vs. 63.3% (19/30) for Muse Spark 1.3 (exact two-sided McNemar test: 7 vs. 0 discordant wins, p = 0.0156), reaching 98.0% physical rule adherence.

5. Stage 4 — RFC 8032 Ed25519 Cryptographic Chain of Custody: Seals every detection, SAR mask, and Muse Wonder forensic narrative into a canonical SHA-256 digest signed with RFC 8032 Ed25519, verifiable directly inside the browser via the native WebCrypto API in 2.80 ms and dispatchable to offshore patrol vessels (OPV ARA Bouchard P-51).

Live Interactive Console: https://sentinel.oceaneye-ai.com
Reproducible Evaluation Harness: https://github.com/Gastonchevarria/oceaneye-evaluation

## More from Meta Global AI Developer Hackathon

- [Stylingu](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3318)
- [MoveScope](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3319)
- [AdForge AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3320)
- [Pineapple](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3322)
- [BlueOcean SP](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3323)
- [Warp Relay](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3324)

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