Sampled, not inspected.
Only a share of parts are checked, so most defects are never looked for.
Is this part defective?
Catch the defect before it ships. Every part. Every surface. Every shift.
See it worked throughInspectors see a sample.
Customers see the rest.
Manual inspection checks a fraction of what the line makes, and attention fades over a shift. The defects that get through are found by the customer.
Tired eyes.
Hairline cracks and faint marks are easy to miss in the eighth hour.
No link to the cause.
A rejected part is scrapped. Why it went wrong is rarely traced back to the process.
What the AI reads.
Every part on the line, photographed and checked against what good looks like, with the process data from the moment it was made.
In
- Line cameras
- Golden samples
- Defect library
- Process data
- Specifications
- Rework records
At work
- Sense Photographs every part at line speed.
- Understand Finds and measures cracks, marks, burrs and missing features.
- Check Tests each finding against your acceptance limits.
- Anticipate Links rising defect rates to drift in the process that made them.
- Operate Rejects the part at the gate and alerts the line lead.
Out
One inspection log. Every reject keeps its image.
Every part seen.
Every reject explained.
Quality engineers see each finding, the image behind it and the process conditions when the part was made.
1,176 passed · 5 for review · 1 rejected
| Part | Finding | Status | Measure | Time |
|---|---|---|---|---|
| Flagged this shift | ||||
| 1191 | Hairline crack, mounting boss | Defect | 2.4 mm long; any crack is rejected | 10:41:18 |
| 1187 | Burr on edge B | Check | 0.3 mm; limit 0.2 mm | 10:41:12 |
| 1143 | Crack-like mark, zone A | Check | Below the review threshold | 10:38:40 |
| 1102 | Crack-like mark, zone A | Check | Below the review threshold | 10:35:02 |
| 1077 | Surface mark | Check | At the cosmetic limit | 10:32:47 |
| 1040 | Missing chamfer | Check | Chamfer 0.1 mm; drawing 0.5 mm | 10:29:10 |
| Latest passes | ||||
| 1192 | No findings | Pass | All features present | 10:41:19 |
| 1190 | No findings | Pass | All features present | 10:41:16 |
| 1189 | No findings | Pass | All features present | 10:41:15 |
Image
A crack-like line on the mounting boss, visible from 2 of 3 camera angles.
Cameras 2 & 3 · 10:41:18Measure
2.4 mm long. Cracks of any length are rejected.
Acceptance standard QS-14 · §3.2Process
Die temperature 18 °C below setpoint for the last 14 parts.
PLC · die TC-3 · 10:37–10:41Pattern
Two more crack-like marks in the same zone in the last hour, both below the review threshold.
Inspection log · parts 1143, 1102
1Rejected
5For review
1176Passed
Follow-ups
- DefectPart 1191 rejected; last 20 parts held for a manual check Quality engineer
- CheckRestore die TC-3 temperature and check the thermocouple Maintenance
- CheckReview the 5 borderline findings in zone A Quality engineer
Sign-off
- Line lead Pending
- Quality engineer Pending
The AI inspects every part. People decide what the findings mean.
Illustrative example. Line, parts, measurements and times are fictional.
Built for the line.
Inspection has to keep up with production, and run where the line runs.
Keeps line speed.
Runs on hardware beside the line, so inspection never slows production.
Deployment options ↗Tuned to your parts.
Adapted to your golden samples and defect library only with your explicit permission.
Image understanding ↗Links finding to cause.
Every reject is tied to the process data from the moment it was made.
How Anticipate works ↗Same records.
Other problems.
The same line data answers other questions too.
Is the supplier’s evidence complete?
Supplier quality
Find missing or inconsistent evidence.
See how →What fails next?
Equipment failure
Spot the patterns and warn what may fail next.
See how →What actually happened with this complaint?
Customer complaints
Reconstruct what happened, and how it was handled.
See how →What’s blocking the restart?
Plant restart
Decide what’s ready and what’s blocking restart.
See how →Bring us a box of rejects.
Send images of good and bad parts. We’ll show you what the AI finds, and what it misses.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India