ASWORK · ENTERPRISE AI DEVELOPMENT

Industrial AI Visual Inspection and Defect Detection

Connect image capture, defined defect detection, operator review and production interfaces, with inspection images and results retained for traceability.

Development use case · Scope is defined against your business conditions.

Business need and fit

Appearance and assembly inspection require repeated checks of surfaces, component presence or defined regions. Scratches, missing parts and assembly displacement have different visual characteristics. Material, reflections, obstruction and viewing angle also affect what an image reveals.

ASWORK provides engineering services from sample assessment and visual algorithms to station integration. This scope suits organizations with defined inspection targets, representative images and access to the intended station for validation. Product definitions, defects and imaging conditions are established at the start.

How an assembly inspection station works

For connector assembly at a fixed station, the initial scope could cover missing parts and displacement in specified regions.

  1. Capture an image using the agreed trigger and associate it with a product or batch.
  2. Analyze the inspection region and return the defined defect class, location and decision output.
  3. Display the source image and marked regions for an operator to review.
  4. Retain images, results and versions, and provide agreed status signals to production software.

Automatic rejection requires a separately defined control interface, timing, interlocks and failure response, followed by integration testing.

Development and integration scope

  • Imaging assessment covering field of view, resolution, illumination and defect visibility.
  • Labeling rules, training and evaluation samples, and detection or segmentation models for agreed classes.
  • Station software for camera triggers, result display, review, batch lookup and image retention.
  • Connections to PLC, MES or other production systems, with exception and operation logs.

Samples should represent real product variation and site conditions. Training and acceptance samples are separated and identified by batch, imaging conditions and model version. Repeated samples should not stand in for independent evaluation.

Project scope and handover

An initial project can cover one product, one station and a limited set of defects. Imaging and recognition feasibility guide later expansion. Deliverables may include inspection software, applicable models, camera and station interfaces, review tools, agreed source code, deployment instructions and evaluation reports.

Metrics reflect the consequences of errors: missed defects, false rejects, individual class performance and end-to-end processing time. Hardware, cycle time and site acceptance conditions belong in the same scope. A model demonstration does not establish acceptance of the complete station.

What to prepare

Provide products or images, normal and defective samples, current camera and lighting details, cycle requirements, installation space and decision rules. Identify which defects require rejection, which can be reviewed and how results affect production.

Camera, lighting, mechanical work and site changes need explicit commercial scope. Defects that are not visible under current conditions require a change to imaging or inspection method first.

Frequently asked questions

Can the system detect every appearance defect?

Coverage is defined by product, defect class and visibility conditions. New defects, materials or station changes require reassessment; results on defined classes do not establish coverage of unknown defects.

Can existing cameras be reused?

Actual images, field of view, exposure, triggering and interfaces are assessed first. Suitability depends on defect visibility and station conditions; lenses, lighting or camera settings may need changes.

Can accuracy and speed be fixed before development?

Targets and definitions can be agreed first. Achievable results require representative samples and target hardware. Acceptance records should include missed defects, false rejects, input conditions and complete processing time.

DISCUSS YOUR PROJECT

Define the next step for your project

Discuss your requirements with ASWORK. Share your workflow, available data and systems so the initial scope and delivery requirements can be assessed.

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