Neuron Vision is a multi-agent system designed for real electronics manufacturing quality control.
Architecture
- Triage Agent analyzes the PCB image and identifies high-risk zones such as BGA packages, fine-pitch ICs, and connectors.
- Parallel Inspection Stage runs three specialized agents concurrently:
- Solder Inspector: bridges, cold joints, insufficient solder, excess solder
- Component Inspector: missing parts, misalignment, orientation, shifted components
- Marking Inspector: silkscreen, QR codes, polarity marks, traceability labels
- Chief Inspector synthesizes structured reports from all inspectors and issues a final verdict using only validated Pydantic v2 models.
Key Technical Strengths
- True parallel specialist execution with measurable latency improvement over sequential inspection.
- Strict structured outputs via Pydantic v2. Chief Inspector never makes a decision from raw free-form text.
- Full production observability with Arize Phoenix/OpenTelemetry, including parent inspection spans and per-agent waterfall spans.
- Deployed on Google Cloud Run and powered by Vertex AI Gemini 2.5 Pro.
- Demo mode included for reliable judging without requiring live GCP credentials.
The project addresses a real manufacturing pain point: PCB defects are expensive, AOI machines are costly, and manual inspection is inconsistent. Neuron Vision demonstrates how specialized multi-agent systems with strong observability can deliver reliable, auditable decisions in physical-world applications.
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