Food vision stations can assess visible appearance, colour, shape and exposed foreign material. Optical images do not guarantee detection of hidden internal contaminants or replace microbiological, composition or other quality tests. Grading, rejection and robot picking are separate functions.
How to validate
Test overlapping products, speed, colour variation and cleaning conditions, including small-target visibility and rejection timing. Report results per defect class and engineer transport and hygiene separately from PCBA equipment.
This is a general industrial-vision evaluation guide, not a delivered IRIS ANT PCBA AOI case study or a standard machine configuration. The station must be qualified for the parts, optics and automation requirements.
Project evaluation checklist
- Define the item, visible inspection surfaces and minimum defects; separate appearance, internal structure and electrical or functional checks.
- Prepare verified good, defective and borderline samples across lots; separate training and acceptance sets.
- Report escapes and false calls by defect class, with review workload, complete cycle time and repeatability.
- Confirm program versions, permissions, retention and traceability fields; approve production only after trials pass.
Continue with
Industrial vision applications
Evaluate a dedicated station around the part and process.
→PCBA AOI products
Machines and software for board inspection.
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