Case Studies/Gema AI Vision inspection UI for line operations

AImanufacturingai-visionquality-controlinspectionoperations-dashboardpipeline-configurationdefect-analyticslatency-monitoring

Gema AI Vision inspection UI for line operations

An AI vision quality inspection system, used by plant supervisors to monitor station results, review NG evidence, and export shift-level summaries.

Client

Suzuki Tambun Factory

Duration

TBD

Year

2025

Team Size

AI Team

Key Outcomes

Station visibility16 stations (UI)

Station grid with per-camera status, OK/NG counts, and drill-down actions.

Defect review workflowNG evidence review

Dedicated actions for NG Evidence Review and defect queue handling.

Operational reportingExport (PDF/CSV)

Export entry points for management review and shift reporting.

Performance monitoringLatency spec <100ms (UI)

Latency is tracked and presented alongside operational KPIs and alerts.

The Challenge

Operational AI vision inspection across production stations

The repository implements UI flows for configuring inspection pipelines and monitoring live production runs, including station-level results, defect drill-down, and system health indicators.

Distributed station monitoring

Operators need a single view of station status, camera identifiers, and OK/NG counts across the line.

Defect triage and evidence handling

NG results require fast drill-down to evidence and category-level analysis to guide root-cause work.

Performance constraints

The UI explicitly tracks latency against a <100ms spec and highlights inference latency spikes.

Governance and reporting needs

Supervisors need exportable summaries (PDF/CSV) and consistent metrics across shifts and time ranges.

Our Approach

Configuration + monitoring delivered as separate operational surfaces

The system splits concerns between pipeline configuration and production monitoring, with charted analytics and station drill-down to support day-to-day quality operations.

UI platform for setup and operations

Next.js (App Router) UI provides dedicated pages for pipeline configuration and operational dashboards.

Backend service contract

FastAPI service exposes health, pipeline creation/retrieval, and inspection endpoints for integration with the UI.

Operational analytics views

Quality dashboard includes trend charts, defect Pareto, station performance tables, and correlation views.

Evidence and alert surfaces

Conveyor monitoring includes an inspection event stream with confidence and an alerts summary panel.

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