Home Case Studies Quality Assurance for Automated Defect Detection in Tire Manufacturing

Quality Assurance for Automated Defect Detection in Tire Manufacturing

A tyre manufacturing leader

The AI system now delivers near real-time, pixel-level defect detection across multiple product lines.

Meet our client

Client:

A tyre manufacturing leader

Industry:

Manufacturing

Market:

Europe

Technology:

Computer Vision

Client’s Challenge

A leading global tire manufacturer needed an AI-driven solution to automate quality assurance and reduce manual inspections in the final production stages. The goal was to improve detection accuracy for multiple types of surface defects, which were difficult to identify, even for trained experts.

Our Solution

We guided the client from data acquisition and annotation to advanced ML modeling and implementation. By leveraging our expertise in computer vision, deep learning, MLOps, and cloud engineering, we developed a solution that enhanced their internal capabilities and ensured a smooth deployment.

Client’s Benefits

The AI system now delivers near real-time, pixel-level defect detection across multiple product lines. The client’s team is equipped to maintain and expand the solution, retraining models to accommodate new products.

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