Machine Vision and Industrial Quality Inspection

SCENE · AOI · Workstation re-inspection · End-side collaboration

Organize the visual production line in a closed loop with end-side capture, edge reasoning and center training;AOI, Dimensional measurement and assembly error prevention.

Visual delivery: end-edge-cloud data flow DEVICE End-to-end collection Camera · Light Source Time synchronization trigger EDGE marginal reasoning Reasoning box/industrial computer Low latency determination · SLO CLOUD Cloud training Versions and Releases GPU Queue · Model Warehouse

competency matrix

  • Defect and foreign object detection; texture and micro defect contrast learning
  • Sub-pixel size and geometric relationship measurements
  • Workpiece pose and grab point output
  • Compliance comparison (barcode, nameplate, assembly in place)

Training efficiency (acceptance criteria)

In a typical AOI scenario, approx.30The first round of available models can be started with just one annotated image; under streamlined annotation, the fastest time from collection to edge deployment is approximately10Minutes (subject to GPU resource queuing).

Visual measurement instructions

Specification excerpt

itemcontent
camera protocolGigE/ USB3 / Mainstream domestic industrial camera SDK
clusterTraining task queues are parallelized with multiple cards; quotas are isolated from tenants
deployEdge box + industrial computer + computer room server hybrid

Manufacturing quality inspection plan white paper Book a demo