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.