The offline detection system for offset printing images can detect and control the printing quality of textbooks, books, newspapers, manuals, pharmaceutical packaging, cigarette packaging, color boxes, daily chemical products, and other printed materials. It is compatible with various types of paper such as white card paper, gold and silver card paper, offset paper, coated paper, aluminized paper, and laser paper. The system supports sheet-fed and web-fed printing. The product can detect various printing defects such as plate waste, file waste, missing radicals, punctuation errors, incorrect characters, missing characters, ink spots, white spots, dirty spots, ink smears, and oil marks. It can detect color differences and monitor color changes using a color difference histogram. The system can simultaneously connect to multiple printing machines, offering high cost-performance and is an essential product for replacing manual inspection in printing.
Functional Features:
- First Inspection Function: Supports comparison of printed products with PDF files to prevent batch waste caused by plate defects or unclean blanket surfaces.
- Color Difference Detection: Monitors and detects color accuracy and registration precision of printed products, eliminating human visual bias and errors.
- Defect Detection: Detects common printing defects such as ink spots, white spots, ink streaks, oil marks, missing prints, and omissions.
- One-Click Modeling: One-click modeling, requiring only 2 minutes of simple training to complete the modeling.
- One-to-Four Connection: One detection system can connect to a maximum of four offset or web-fed printing machines, providing high cost-performance.
- Defect Data Analysis: By analyzing defect data, it can determine the cause of defects, trace the responsible person, and improve quality control points through defect statistics over time. This supports the datafication, standardization, and intelligentization of printing quality.
- Data Reporting and Quality Scoring: Quality reports based on the analysis of quality data from different machines and shifts can be provided for management and supervisory review. Quality scores are calculated from the printing quality data of different machines and shifts, which can be used for performance assessment, achieving quantifiable evaluation of printing quality.
