Vision Based Material Identification, Classification, and Defect Identification
Capture hi-resolution images of parts and materials to be used for identification, classification, and defect detection.
Hardware
- Hi Resolution Line Scan 4K Camera
- GigE Computer
- Industrial Lighting
Integration
Used automated image capture of parts and materials from manufacturing lines and conveyor. Image quality was optimized through unique lighting techniques and color calibration to ensure the highest image quality for processing. Captured images processed through Machine Learning algorithms to verify measurements, color classification, and identify defects.
Challenges
Lighting on reflective product surfaces required precise lighting solutions to minimize shadows and ensure proper defect identification.