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Quality Control & Optimization

These applications focus on automated quality assurance, realtime measurements, and output optimization for industrial production environments.

End-of-Line Quality Inspection & Smart Output Categorization

Automated detection and sorting of defective products leaving a production line to ensures consistent high levels of quality, minimze customer complaints and returns and reduce manual intervention.

Raw Material Input Inspection

AI analyzes incoming raw materials (e.g., tree trunks) to classify and optimize resource utilization before processing.

Real-Time Measurement for Precision Assembly

Realtime high precision measurement of parts during production to ensure exact fit, minimize post production efforts and reduce waste

Continuous Quality Optimization during Production

 Data-driven quality monitoring across production lines to detect trends and incrementally improve production quality, process throughput and stability.

High-Speed Real-Time Quality Inspection

Reliable detection of product defects created on a fast-moving production line (up to 120 m/min) maintaining high production throughput and constantly high quality levels

AI-Based Acoustic Quality Control for Critical Parts

 Combines visual and acoustic analysis to detect and avoid defects in sensitive components that are produced in a closed off environment that does not allow human interaction (e.g. production in a vacuum)

Automated Classification of Metal Components

Recognizes and categorizes metal parts in real time to streamline post production sorting and all post-processing workflows.

Improve quality
avoiding downtime

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