A manufacturing line where an industrial robot and camera inspect products.

A · VISION AI

AI & Machine Vision

Keep existing cameras and equipment while connecting inspection, deployment, data and reporting in one loop.

01

PROBLEM

Factory challenge

Rare defects, label cost, equipment variation and model ownership block production deployment.

02

APPROACH

OPTO approach

Combine hybrid AI, low-data learning, edge deployment, dataset operations and quality reporting.

SOLUTIONS

Representative solutions

Traceable inspection operations from camera input to quality reporting

An industrial robot and camera inspecting a product surface
Vision AIP0 · concept validation

InspectAI

Low-data hybrid AI visual inspection

Combines rule-based logic and Hybrid AI to validate defect decisions while preserving evidence, dataset lineage and production operating criteria.

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A control room operating industrial AI devices across multiple monitors
Vision AIP0 · concept validation

VisionOps

Edge deployment, model operations and continual learning

Manages device, recipe, model and deployment versions so approved releases, rollback and performance review can be operated consistently.

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A production system analyzing 3D geometry and spectral data together
Vision AIConcept · validation required

Fusion3D

2D/3D, thermal and spectral sensor-fusion inspection

Combines complementary sensors to distinguish shape, material and thermal characteristics that a single sensing method cannot reliably separate.

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An automated system analyzing semiconductor inspection images and manufacturing data
Vision AIConcept · validation required

DataForge

Synthetic defects, assisted labeling and dataset management

Supports rare-defect development while preserving the source, label, usage rights and training lineage of manufacturing datasets.

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Engineers analyzing manufacturing operations data on a meeting-room display
Vision AIConcept · validation required

Quality Copilot

Evidence-linked quality analysis and reporting assistant

Uses inspection, metrology and process history to suggest root-cause candidates and the evidence that a quality engineer should review.

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PROOF & DELIVERABLES

Verification deliverables that remain

Acceptance is based on the documents, data and procedures needed for approval and operation.

  1. 01Sample evaluation report
  2. 02Inspection recipe and model version
  3. 03Edge deployment image
  4. 04False-reject and false-accept analysis
  5. 05Operating runbook

INTEGRATION

Integration scope

  • Industrial cameras
  • 2D/3D, thermal and spectral sensors
  • PLC triggers and I/O
  • MES and quality databases
  • VisionOps

INDUSTRIES

Priority industries

VISION AI

Design a verification path for your site

Specifications and performance are agreed through sample and site-specific PoC gates.

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