Camera inspection at line speed
A vision model on the gateway checks every part and flags defects without sending images out of the plant.
Manufacturing · Quality
Out-of-tolerance decisions
Inspectors check what to do with a part that’s outside tolerance, from your quality procedures.
- Tablet
- Works offline
Tablet assistantOn this device · no internet needed
The bore is 12.03 mm. Can I release it?
No. It’s 0.01 mm over the limit. Tag it red and log it for the quality engineer, per procedure QP-4.
Can this part be reworked?
Yes. Oversize bores can be sleeved under rework instruction RW-12, with engineer approval.
Who approves rework on night shift?
The on-call quality engineer listed on the shift board. Hold the part until they approve.
The problem
When a measurement is close to a limit, the decision to release, rework or scrap must follow procedure. Inspectors on night shifts often have no engineer to ask. Inconsistent decisions create escapes to customers or unnecessary scrap.
Who uses it
Inspectors and operators at measurement stations and in the quality lab.
What you train it on
- Quality procedures
- Part drawings and tolerances
- Disposition rules
- Escalation contacts
How it works on the device
- 1
Trained on your quality procedures
Tolerances, disposition rules and escalation steps for each part.
- 2
Decision support at the bench
The inspector enters the measurement and gets the rule that applies and the next step.
- 3
Updated with each revision
Drawing and procedure changes reach the tablets in the next update.
Why it runs on the device
Consistent decisions
Every shift applies the same rule.
Faster at the bench
No waiting for an engineer on simple cases.
Clear escalation
Borderline cases go to the right person.
Questions
No. It applies your written rule and tells the inspector the next step. People approve rework and concessions.
It says there is no rule and tells the inspector to hold the part and escalate.
With your quality system connected as a tool, it can prepare the record for the inspector to submit.
Related use cases
All use casesPut AI where your work happens.
Pick one team and one use case. We’ll have it running on your own devices in weeks.