Screw quality monitoring method and system based on cross-process visual traceability
By assigning a unique identifier to the screw and utilizing deep embedding and sequence anomaly detection models, a visual feature profile of the screw is constructed, solving the problems of coarse granularity in screw quality traceability and isolated detection data, and realizing rapid and accurate defect root cause analysis and preventive quality control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG ZHUOYOU GENERAL MASCH CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for screw quality traceability are coarse-grained, and visual inspection data is isolated, making it difficult to achieve rapid and accurate defect root cause analysis and traceability.
By adopting a cross-process visual traceability approach, each screw is assigned a machine-readable unique identifier in the screw production process. Combined with a deep embedding model and a sequence anomaly detection model, a visual feature profile is constructed that runs through the production cycle, enabling continuous monitoring of screw quality and location of defect roots.
It enables refined quality traceability, allowing for quick and accurate identification of the root cause of defects, reducing quality costs and material waste, and supporting rapid response and preventative quality maintenance.
Smart Images
Figure CN122415533A_ABST