Machine vision and quality inspection
Plan camera, lighting and inspection workflows for defects, dimensions or robot guidance.
What does the work involve?
- Collect examples of acceptable parts, defects and borderline cases.
- Test lighting, working distance, field of view and surface variation.
- Define rejection handling, review responsibilities and traceable records.
What should you prepare before starting?
Bring images or physical samples of good parts, actual defects and borderline cases. Surface finish, ambient light and the distance available for a camera can change the inspection approach.
Do you need to replace existing equipment?
A camera upgrade is not always the first step. Stable lighting, repeatable presentation and a clear definition of an unacceptable part may matter more than sensor resolution.
How is delivery checked?
Test representative variations and agree how false accepts and false rejects will be reviewed. The workflow needs a clear route for uncertain results and inspection records.