The EDI system uses machine vision to identify surface defects that are detrimental to the performance of sensitive hardware components.
Once the system identifies the defects, the user can categorize them according to their pass/fail criteria. These inputs are fed into the system during the learning phase. The Fuzzy Logic-AI determines the final outcome based on the previously trained models. This system brings tremendous value by identifying surface defects quickly and accurately. The system reduces both inspection time and eliminates operator error while making data-driven decisions.
System Configuration:
- Bench-top vision based system
- Fixed magnification or zoom options
- High resolution industrial camera
- Computer controlled lighting
- Touch screen monitor
Software Features:
- Machine learning features
- Powerful and easy-to-use operator interface
- Automated part finding
- Pass/fail based on part specifications
- Data saving capabilities
- Image saving using JPG format
- Printable inspection report
