Manufacturing Computer Vision
Automated quality inspection across six assembly lines
Manual visual inspection replaced by edge-deployed computer vision detecting twelve surface defect classes on the line at 30 frames per second.
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Manufacturing
Factories generate enormous amounts of data that mostly sits idle in PLCs and log files. BigAI turns it into alerts and decisions on the shop floor.
Context
Data challenges specific to this industry
The barriers BigAI encounters repeatedly across companies in this sector.
Start with one line
BigAI recommends piloting on a single high-volume line with well-defined defect classes, measuring for 6–8 weeks, and only then scaling. The plant sees real numbers before committing to a full rollout.
Quality inspection depends on people
Results vary between shifts and miss rates rise towards the end of a shift.
Maintenance on a fixed calendar
Over-servicing healthy machines while the ones about to fail still fail.
Applications
Problem → Solution → Measurable benefit
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| Business problem | BigAI solution | Measurable benefit |
|---|---|---|
| Defects reaching the customer<br><span class="small muted">Manual inspection on the line</span> | AOI on BigAI Vision detecting twelve surface defect classes in place | −63% defects reaching customers |
| Unplanned downtime<br><span class="small muted">Fixed maintenance schedule</span> | Predictive maintenance on vibration, temperature and current data | −34% unplanned downtime |
Case studies
Projects in this industry
Compliance
Designed to clear the approval process
Works offline
Models run on edge devices inside the plant; inspection and alerting continue if the internet link drops.