Can surface defect inspection be automated?
Run this test before spending anything: give two inspectors the same fifty parts and compare their grades. If they disagree, no camera will settle it.
What the job actually is
Somebody examines surfaces for scratches, dents, contamination, flash or finish variation. It is the most subjective inspection task in a plant, and the one where automation projects most often disappoint.
Signs it is worth automating
- Your defects are visually consistent and you can produce samples of each type.
- Escapes are expensive and traceable to this check.
- You already keep rejected parts and could build a defect library.
- Two inspectors grading the same parts agree most of the time.
What the cell looks like
Fixed camera stations or a robot presenting parts to cameras, with lighting engineered for the specific defect. Rule based vision measures what you can specify; trained models need a real library of labeled good and bad examples, which most shops discover they do not have.
This is one job inside a bigger family. The inspection guide covers the equipment classes, the cost ranges, and the disqualifiers for all of it.
When the answer is no
Read this part first
We would rather talk you out of a bad purchase than into one. If any of these describe your version of this job, the honest answer is probably not yet.
- Two inspectors disagree on the same parts. Define the standard first; that costs nothing and it is required either way.
- Surfaces are highly reflective or variable and there is no lighting engineering budget.
- You cannot produce a library of real defect samples.
- Your acceptable false reject rate has never been discussed, let alone agreed.
What an engineer has to verify
- The inspector agreement test on fifty real parts, before anything else.
- A written defect catalog with physical samples of each type.
- Acceptable false reject rate, agreed before quoting.
- Lighting approach, which usually needs its own engineering.
- Whether a trained model is required and whether you can supply the training data.
Safety is not on that list because it is not ours to determine. Cell design, guarding and the risk assessment belong to an independent certified integrator, every time.
Someone has already done this
Robot presents all 96 cavities and cuts shot inspection time by 64 percent
Vision Technical Molding in Manchester, Connecticut runs a 96 cavity medical tool at under 10 second cycles, and qualifying a shot means checking a part from every cavity for dimen...
A 33 person molder checks 200 tiny holes in 3.5 seconds with a robot fed camera
Performance Plastics Ltd. in Cincinnati molds a fluoropolymer medical disposable four to a shot, and each part carries an area with 50 holes of 23 mil diameter separated by 12 mil ...
See it run
Two clips of this job actually running, from two different manufacturers. Both are the makers' own marketing footage, showing a cell under good conditions with a part it was set up for, so watch them for what the motion looks like rather than as evidence of what your rate would be.
Two robots move valve bodies between inspection stations that check dimensions and surface, then separate good parts from bad.
A cobot moves its onboard camera over parts and flags the defective ones on screen as they come through.
Is your version of this job automatable?
Tell Joe what you are running. He will give you a straight preliminary read, and he will tell you if a robot is the wrong answer for your situation.
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