We built automated visual inspection for tyre manufacturing, with high-speed cameras and local AI models that flag defects in real time, plus AI routing for commercial tyre distribution.
Industry: Manufacturing & EnergyService: AI & Automation
Overview
Client
Bridgestone
Global tyre and rubber manufacturer
Engagement snapshot
The challenge
Structural and tread anomalies formed during curing could be too small to see reliably by eye at production speed.
When a fault was found, the team also needed to know which production parameters had caused it, to stop it happening again.
Microscopic anomalies were easy to miss.
Faults were not linked to their production settings.
Commercial tyre distribution relied on manual planning.
The solution
High-speed cameras feed images to local AI models that check structure and tread.
Each defect is flagged in real time with the exact production parameters that led to it.
An AI routing system dispatches and tracks commercial tyre deliveries from live logistics data.
Key features
High-speed cameras and local AI models check each tyre for structural and tread anomalies.
Business impact
Microscopic anomalies caught instantly
Each flagged defect logs the exact production parameters that led to it.
Business impact
Data to improve the process
AI dispatches and tracks commercial tyre deliveries using live logistics data.
Business impact
More efficient distribution
Before and after
Before
By eye
Small anomalies were easy to miss.
After
Camera and AI
Every tyre is scanned during curing.
Before
Unclear
Faults were not tied to their settings.
After
Logged per fault
Each defect records its production parameters.
Before
Manual dispatch
Deliveries were planned by hand.
After
AI routing
Dispatch follows live logistics data.
Results
Real-Time Detection
Visual AI catches microscopic anomalies as tyres are cured.
Before: By EyeAfter: Every Tyre Scanned
Settings Logged per Fault
The team gets the production data needed to refine its parameters.
Before: Unknown CausesAfter: Traceable Causes
Automated Dispatch
Commercial tyre deliveries are dispatched and tracked automatically.
Before: Manual PlanningAfter: AI Routing
Testimonial
“Quality control is paramount in tire manufacturing. The visual AI inspection models catch microscopic anomalies instantly, ensuring absolute safety while giving us the data we need to perfect our production parameters.”
Adam BarfootVP of Manufacturing Operations, BridgestoneKey results
Trust and control
Flagged tyres are reviewed by the quality team.
HUMAN IN CONTROLEvery defect is stored with its production settings.
TRACEABLEImages are analysed on hardware in the plant.
ON-SITEInspection limits can be adjusted per tyre type.
ADAPTABLEFaster delivery
Reusing tested components let the team focus on tyre-specific defect types.
Tested components handled high-speed image capture.
A reusable edge runtime ran vision models in the plant.
A ready-made log ties each fault to its process data.
Tested routing logic planned dispatch.
We built automated visual inspection for tyre manufacturing and analytics for distribution. High-speed cameras feed images into local AI models that detect structural and tread anomalies during curing, and after production an AI routing system dispatches and tracks commercial tyre deliveries from live logistics data.
The visual AI models scan every tyre during curing and catch microscopic anomalies instantly, which are easy to miss by eye at production speed. Each defect is flagged in real time, so faulty tyres are stopped and reviewed by the quality team before they can leave the plant.
Every flagged defect is logged with the exact production parameters that led to it. Over time this gives the team the data it needs to refine curing settings and prevent the same faults from appearing again, turning quality inspection into a source of continuous process improvement.
If small defects are hard to catch on your line, we can build visual AI that flags them instantly.