Machine Vision Inspection
Purpose of Implementation
Machine vision inspection uses high-resolution cameras and AI-based image processing to automatically detect defects and faults in products.
It reliably identifies even minute defects that are difficult for human inspectors to notice, ensuring consistent quality and improved production efficiency. By enabling 24/7 unmanned inspection, it simultaneously maximizes productivity and reduces operational costs.
Expected Benefits
- Automatic Detection of Minute Defects
- Rapid identification of defects and nonconformities using high-resolution vision systems.
- Quality Data Digitization
- Inspection results are collected as data, enabling advanced and systematic quality management.
- Reduced Inspection Time and Cost
- Lower labor dependency and faster inspection compared to manual processes.
- Inline Inspection Without Line Stoppage
- Real-time inspection during production ensures continuous quality control without interrupting operations.
Key Applications
- Electronics Soldering Processes
- Inspection of solder joints, bridges, and missing solder in SMT production lines.
- Food & Pharmaceutical Packaging Lines
- Verification of label print quality and expiration date recognition.
- Automotive Parts Surface Inspection
- Detection of surface defects such as scratches, dents, and foreign substances.
- Battery Cell Manufacturing
- Inspection of weld seams and detection of misalignment or defects in insulation tape placement.
Reference
- Gas Cylinder Valve Inspection Automation
- To automate the manual gas cylinder valve inspection process, a rail-based collaborative robot and AI vision system are applied to automatically detect valve leaks and thread conditions.
By continuously inspecting multiple gas cylinder valves, the system ensures both inspection speed and accuracy.