AI (Artificial Intelligence) Robot Defect Recognition System
For different industries, parts, and visual-related works, PROMAG to especially developing, customizing, and Artificial Intelligence recognition
- AI machine-learning-based software with advanced PLC connecting with CCDs for detection.
- System Integration with MPI or transportation for the fully automated solutions.
- To Build the defects database of parts for empowering enable lasting deep-learning, causing analysis and creating core competence of QA and NDT in the company.
PROMAG AI MPI equipment and AI FPI system can provide a full-automation inspection and defect recognition solution.
- To help reducing inspection overhead cost for company.
- To assist in lowering inspection loading for operators.
- To connect with the production line, finding causes of defects to resolve at the beginning.
- To satisfy clients with the fully automated MPI and FPI system solution empowered by AI MPI and FPI defect recognition for great quantity inspection demands.
Features
- Magnetic Particle Inspection (MPI) equipment and Fluorescent Penetrant Inspection (FPI) combine with AI machine learning-based model.
- Able to inspect different types of defects in seconds in the meantime, for example: - Defects caused by raw material or metal-forming, machining, and manufacturing process. - Tree type(tree-shaped) defect caused by quenching crack.
- Support different shapes of components by providing customized solutions.
(Note: Different shapes might need different AI unit models.)
- Support inspection under specialized UV LED or regular light.
- Defect images may be stored and sent back to PROMAG AI Robot cloud for deep-learning and accuracy improvement.
- Optional customization to send inspection result data to external DB system.