# SceneSignal

- **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:** [Uthandam A](https://cerebralvalley.ai/u/UTHANDAM)
- **GitHub:** https://github.com/UTHANDAM/SCENESIGNAL
- **Demo video:** https://youtu.be/McpWIDdi3Bo
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1992

SceneSignal is an autonomous visual incident intelligence system that transforms chaotic industrial accident photographs into evidence-grounded, court-admissible forensic dossiers. 

When catastrophic failures occur at petrochemical refineries, construction sites, or power plants, human investigators face dozens of disorganized photos, subtle micro-fractures, and uncertain causality. Traditional AI hallucinates unfounded theories without spatial grounding.

SceneSignal couples two of Meta's newest frontier models into a unified forensic pipeline:
1. Spatial Perception (Meta SAM 3.1): Utilizes Promptable Concept Segmentation via the Meta Model API (/v1/responses) across 15 specialized hazard categories (shear deformity, containment breaches, pooling chemicals, thermal scarring) to detect micro-anomalies and anchor precise pixel coordinates.
2. Forensic Multimodal Reasoning (Meta Muse Spark 1.3): Ingests multi-camera drone and ground captures within its 1M-token context window to cross-reference spatial geometry, reconstruct chronological causal sequences (T+1, T+2, T+3), and calculate actuarial risk exposure.
3. Epistemological Grounding: Completely eliminates hallucinations by strictly isolating findings into OBSERVED (pixel-grounded), INFERRED (causal timeline), or HYPOTHESIS (unobserved theory requiring physical testing). Every finding is bidirectionally linked to its exact image coordinates.
4. Courtroom & OSHA Compliance: Computes SHA-256 cryptographic hashes for full chain-of-custody verification and exports one-click court-admissible PDF dossiers.

## More from Meta Global AI Developer Hackathon

- [Versatile](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1989)
- [John Swartz](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1990)
- [Beezy](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1991)
- [Expertery](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1993)
- [Sweetbrier](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1994)
- [FeedForward](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1995)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1992. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt