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01Define the visible criteria
Agree which part conditions are observable and relevant.
Review visible part anomalies before assembly
A supported visual check can flag an unexpected chip, deformation or other validated appearance anomaly on a part. Inspectors must confirm the condition against the specification and use appropriate methods for hidden or functional defects.
Confirm detector support, camera suitability and the proposed event workflow before deployment.
Validate part anomaly inspection
Example
Without IVISIONStandard CCTV feed
With IVISIONIllustrative event overlayThe Process
How It Works
Focus inspection on the surface and features in view Help inspectors focus on parts that need a closer quality check.
01
02Validate representative examples
Test acceptable variation and known visible defects.
03Review the flagged part
Inspect the image and trace the candidate to the physical part where supported.
04Make a quality decision
Qualified staff use the specification and required tests.
Explore Your Options
Explore Related Capabilities
| Dimension |  Defective-part detection |  Surface-defect detection |
|---|---|---|
| Observation |  Visible part features that differ from validated acceptable examples. | Visible scratches, blemishes or finish irregularities in the inspected area. |
| Event criteria | A supported anomaly or defect-class observation meets the agreed review criteria. | A supported surface condition differs from the validated acceptable reference. |
| Monitoring setup | Define defect classes, acceptable variation and part presentation. | Specify surface types, defect examples and acceptable variation. |
| What it cannot establish | Video does not reveal every internal defect, dimensional error or functional failure. | Video does not establish defect depth, material integrity or hidden subsurface flaws. |
| Practical outcome | Help inspectors focus on parts that need a closer quality check. | Help inspectors locate surface conditions requiring comparison with the finish specification. |
Illustrative demonstration
Review The Event.
Understand The Context.
Example footage and simulated events explain the review workflow. They do not measure detector performance.
Sites overview
Example Activity
No matching events.
Related Scenarios
View More
Production MonitoringSurface-defect detection
Focus on visible surface marks and finish conditions.
Read More
Production MonitoringProduct-quality inspection
Place the visual check within broader quality criteria.
Read More
Production MonitoringDefective-product detection
Review the finished item after assembly or processing.
Read MoreEXPLORE WHAT’S POSSIBLE
What Can You Do With Defective-part detection?
01 / 04 · DEFECTIVE-PART DETECTION
Metal components
Visible edge damage needs checking before use.
Example event: A candidate chip appears on the inspected part.
Operator response: Examine the part against acceptance criteria.
Practical value: Focus an incoming-quality check.
Discuss this capability
02 / 04 · DEFECTIVE-PART DETECTION
Plastic molding
Molded parts can show visible deformation.
Example event: A supported appearance check flags an anomaly.
Operator response: Verify the condition and process context.
Practical value: Support review before assembly.
Discuss this capability
03 / 04 · DEFECTIVE-PART DETECTION
Electronics housings
Surface damage may be overlooked in a tray.
Example event: A visible blemish is identified for review.
Operator response: Inspect the cover under approved lighting.
Practical value: Direct attention to the relevant feature.
Discuss this capability
04 / 04 · DEFECTIVE-PART DETECTION
Deployment review
Show the relevant part surfaces at adequate resolution.
Visibility: Hidden faces, reflections and fine defects may be missed.
Configuration: Validate each defect class and acceptable variation on real parts.
Privacy: Limit retained images to the quality and traceability purpose.
Human review: Inspectors determine acceptance using the full specification.
Discuss this capability
Frequently asked questions
Defective-part detection, Explained.
Identify candidate visible anomalies on individual parts before assembly or further processing.
Does this detect every defective part?
No. Only validated visible conditions are within scope.
Can it find internal cracks?
Not unless they produce visible evidence; other inspection methods may be needed.
Does it measure tolerances?
Dimensional inspection requires a separately calibrated method.
Can a flagged part be traced automatically?
Traceability requires a verified identification and record connection.
Find your fit
What are you trying
to achieve?
Help inspectors focus on parts that need a closer quality check. For Incoming quality inspectors, Component manufacturing teams.
Workflow to discuss
Defective-part detection + Focus inspection on candidate visible anomalies.
