Defect detection, measurement, and traceability—vision systems that fit line speeds and QA sign-off.

Catch defects at line speed—models calibrated with your golden and reject sets

We deploy edge or near-line inference with lighting-aware pipelines—annotation tools capture bounding boxes and severity labels your engineers already use. Thresholds tie to false-accept budgets; when confidence is borderline, parts route to rework lanes with saved crops for root cause. MES and QMS integrations stamp inspection results to serial numbers—recalls query affected lots without spreadsheet archaeology.

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Computer Vision & AI Visual Inspection Platform Development

01 // THE MANDATE

Defect detection, measurement, and traceability—vision systems that fit line speeds and QA sign-off.

We deploy edge or near-line inference with lighting-aware pipelines—annotation tools capture bounding boxes and severity labels your engineers already use. Thresholds tie to false-accept budgets; when confidence is borderline, parts route to rework lanes with saved crops for root cause.

MES and QMS integrations stamp inspection results to serial numbers—recalls query affected lots without spreadsheet archaeology.

02 // ENGINEERING

Development process

Structured phases—from discovery to launch—with clear ownership and handoff points.

Line study (weeks 1–4)

Defect taxonomy, throughput, lighting plan.

MVP (weeks 4–14)

Single station, offline eval, operator UI.

Pilot run (weeks 12–18)

Parallel human inspection; ROC tuning.

Production (weeks 16–24)

Alarm thresholds; rollback plan.

Operate (ongoing)

New SKUs; periodic retrain.

03 // CAPABILITIES

Core Capability Matrix

The building blocks of your solution

Capture

industrial cameras; GenICam optional.

Models

classification; segmentation; anomaly optional.

Edge

GPU/Jetson; ONNX/TensorRT export.

Labeling

workflows; consensus optional.

Calibration

golden samples; drift monitors.

Line HMI

pass/fail; reason codes.

Data

defect library; versioned datasets.

MES

OPC-UA optional; serial binding.

Reporting

PPM; trend charts; SPC hooks optional.

API

central model registry pushes to plants.

04 // DELIVERY LIFECYCLE

The strategic roadmap

Milestones and checkpoints—each phase has a clear outcome before the next begins.

Milestone 01Delivery

Weeks 1–4: Feasibility PoC on sample parts.

Milestone 02Delivery

Weeks 5–12: Labeling and model v1.

Milestone 03Delivery

Weeks 13–18: Line pilot with guardrails.

Milestone 04Delivery

Weeks 19–24: Multi-shift reliance.

Milestone 05Delivery

Ongoing: New defects; supplier feedback loops.

05 // PRODUCT SCOPING

Choosing your path

Two engagement models—start lean and iterate, or commit to a full platform build from day one.

MVP

Speed & essentialism

Phase 1
MVP: single camera station, one defect class set, operator HMI, image storage, basic reporting, manual serial entry optional. Excludes full plant MES integration and multi-site model orchestration. Proves detection rates before capital scale-out.
Recommended

Full product

Enterprise maturity

All-in
Enterprise vision platform: multi-plant registry, active learning, digital twin simulation optional, GxP validation packages when required.

06 // PARTNERSHIP

Why work together

A single accountable partner across strategy, build, and go-live—not a revolving door of vendors.

John Hambardzumian
Direct collaboration

End-to-end ownership: discovery, architecture, implementation, and launch—with clear communication and production-grade engineering.

  • Discovery & alignment
  • Systems that scale
  • Implementation depth
  • Clear comms

07 // CLARITY

Frequently asked

Retraining pipelines and drift alerts; environmental baselines per line.

Ready to start?

Tell me about your product goals and timeline—I'll respond with a clear path forward.