Real-Time Detection of Production Anomalies Using Computer Vision
Together with a leading industrial company, we developed a computer vision solution that detects production defects in real time. The AI-powered quality control system identifies even small and difficult-to-detect defects at an early stage, achieving a 95% defect detection rate. This helps reduce scrap and customer complaints while improving production processes.
Challenge
The client aimed to detect production defects as early as possible to reduce scrap, returns, and customer complaints. At the same time, the solution needed to reliably identify smaller and difficult-to-detect defects while ensuring stable production processes.
Approach
Pre-trained computer vision models were fine-tuned for different products to enable real-time detection of production defects. The solution enables continuous production monitoring and supports the identification of previously unknown defect types for further process optimization.
Outcome
The solution enhances quality assurance in production by enabling early and reliable real-time detection of defects. As a result, scrap and customer complaints are reduced, production processes are stabilized, and customer satisfaction is improved.
- 95% defect detection rate, including small and difficult-to-detect defects
- 15% improvement in defect detection accuracy
- 2% increase in production output through reduced disruptions and faster issue resolution
- 5% scrap rate and 15% reduction in returns and complaint rates
- Identification of previously unknown defect types
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