A packaging box printing quality detection method based on image processing
By employing multi-angle image acquisition and multi-dimensional feature fusion methods, combined with adaptive light sources and generative adversarial networks for image inpainting, the technical bottlenecks in the printing quality inspection of transparent materials, curved surfaces, and high-gloss packaging boxes have been solved. This has achieved high-precision and high-real-time inspection results, meeting the needs of high-speed production lines.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DADI CAN MFG IND
- Filing Date
- 2026-03-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from problems such as low detection accuracy, high false negative rate, high equipment cost, slow detection speed and insufficient real-time performance in the printing quality inspection of transparent materials, curved surfaces and high gloss packaging boxes, which are particularly difficult to meet the needs of high-speed production lines.
We employ multi-angle image acquisition, edge preprocessing, multi-dimensional feature extraction and fusion, surface geometry correction, and multi-angle information fusion methods, combined with adaptive light source equalization, generative adversarial network image inpainting, and lightweight deep learning models, to construct a distributed system architecture to achieve high-precision and high-real-time detection.
It significantly improves detection accuracy and real-time performance, reduces false negative and false positive rates, meets the detection needs of high-speed production lines, and improves production efficiency.
Smart Images
Figure CN122415447A_ABST