Brief: Observe the step-by-step operation and see practical examples of usage. This video provides a detailed walkthrough of the Keye Tech AI Vision Inspection System for yellow square bottles. You'll see how the 10-camera setup performs full automated quality control, demonstrating the inspection process from image acquisition to defect rejection with 0.1 mm precision and 99.9% accuracy.
Related Product Features:
Utilizes 10 specialized cameras for comprehensive 360° inspection of bottle mouth, body, and bottom.
Powered by AI deep learning algorithms for high-precision defect detection and classification.
Achieves 0.1 mm precision and 99.9% accuracy in identifying various bottle defects.
Operates at speeds up to 300 pieces per minute for efficient production line integration.
Features embedded processing platform adaptable to harsh industrial environments.
Includes remote operation maintenance platform for real-time monitoring and updates.
Offers customized optic imaging system with full-spectrum lighting coverage.
Provides comprehensive after-sale service including installation, training, and maintenance.
FAQs:
What types of defects can this AI vision inspection machine detect?
The machine can detect various appearance defects including black spots, color differences, impurities, threads, rings, notches, leftovers, flash, bubbles, holes, uneven thickness, deformation, size variations, inkjet issues, trademark problems, and die number defects.
How many cameras are used in this inspection system and what do they inspect?
The system uses 10 cameras: 1 for the top mouth, 1 for the bottom, 4 for the upper sidewall, and 4 for the lower sidewall, providing complete 360° coverage of the bottle surface.
What after-sale services does Keye Tech provide with this equipment?
Keye Tech provides equipment installation and adjustment within 7 days of delivery, free daily maintenance services through their KVIS AI Cloud platform, offline training classes for mechanics and software/algorithms, and ongoing remote operation and maintenance support.