# Team ARGUS

- **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:** [boopalan jayaraman](https://cerebralvalley.ai/u/boopalanjay)
- **GitHub:** https://github.com/boopalanjayaraman/argus
- **Demo video:** https://youtu.be/i4-S8zrOdxc
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3338

**ARGUS — Autonomous Continuous Inspection AI for Industrial Manufacturing**

ARGUS is an AI-powered, continuous inspection platform designed for **Engineer-to-Order (ETO) and high-mix, low-volume manufacturing**, where every piece of equipment is uniquely engineered to customer specifications.

Traditional inspection systems struggle with these environments because there are no standardized product baselines or large defect-training datasets. Quality inspections are often manual, fragmented, and performed late in manufacturing, making defects expensive to rectify.

**ARGUS changes inspection from a final-stage activity into a continuous, intelligent process throughout manufacturing.**

The platform combines camera streams, photographs, laser point clouds, CAD models, customer work orders, and engineering standards to inspect equipment against its unique design and acceptance criteria.

Powered by **Meta's SAM 3.1, Muse Spark, and Muse Wonder**, ARGUS identifies and tracks components, evaluates visual evidence against applicable inspection rules, and reviews potential non-conformances. Deterministic geometric analysis compares laser scans against CAD, while a rule-based decision engine produces explainable findings.

ARGUS provides live inspection results, evidence traceability, and comprehensive PDF inspection dossiers for human quality-engineer review.

Starting with a sample five-ton industrial valve, ARGUS demonstrates a framework applicable across **oil and gas, power generation, aerospace, defence, shipbuilding, and other complex equipment manufacturing industries**.

**Our vision is to make every custom-built industrial asset continuously inspectable—catching defects earlier, reducing costly rework, and improving manufacturing quality and traceability.**

Test it out live:
ARGUS INSPECTION AI - https://argus-api-851874705049.us-central1.run.app/
ARGUS DATA SIMULATOR - https://argus-simulator-851874705049.us-central1.run.app/

GitHub Repos:
ARGUS - https://github.com/boopalanjayaraman/argus

ARGUS SIMULATOR - https://github.com/boopalanjayaraman/argus_simulation

## More from Meta Global AI Developer Hackathon

- [Gourav](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3335)
- [202 meta successful](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3336)
- [Buzzard](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3337)
- [DM Inc](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3339)
- [Asenturisk](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3340)
- [KIYT](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3341)

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