Automated Inspection for Decorator Component Identification
Solution Overview
Problem
High-speed can decorating machines produce a high volume of improperly decorated cans due to difficulties in identifying and correcting misadjustments, as existing inspection technologies fail to provide critical information for troubleshooting and optimizing the decorating process.
Innovation Solution
An automated inspection system integrated with a mandrel wheel and print blanket wheel, capable of identifying faults or variations in the printed pattern, correlating them to specific machine components, and facilitating adjustments through a control system, which can automatically or manually correct the decorating process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed decorating machines operate at elevated speeds (3,000+ CPM), then productivity increases, but the ability to identify and correct misadjustments deteriorates due to insufficient inspection information
Solution Approach 1:
The patent implements a feedback mechanism where an inspection system captures images of decorated cans, identifies faults or variations in the printed patterns, and provides this information back to operators in real-time. This enables continuous monitoring and correction of decorating process parameters even at high speeds of 3,000+ CPM, resolving the information loss problem that previously occurred at elevated production rates
Solution Approach 2:
The patent replaces manual inspection methods with an automated optical inspection system using cameras and image processing algorithms. This substitution enables fault detection at high speeds without the limitations of human visual inspection, maintaining both high productivity and comprehensive fault identification capability
2Device complexity
If manual inspection methods are used to detect decorating faults, then equipment complexity remains low, but measurement precision and fault detection capability deteriorate
Solution Approach 1:
The patent replaces simple manual visual inspection with an automated optical inspection system that uses cameras, lighting, and image processing software. This substitution dramatically improves measurement precision and fault detection capability while accepting the increase in device complexity, as the automated system provides objective, consistent, and detailed fault identification that manual methods cannot achieve
Solution Approach 2:
The patent creates optical copies (images) of the decorated cans for inspection purposes. By capturing and analyzing digital images of the printed patterns, the system can precisely measure and detect faults without physically contacting or disturbing the cans, achieving high measurement precision through information copying rather than direct physical measurement
3Measurement precision
If automated inspection systems are implemented, then fault detection precision improves, but device complexity increases due to additional components and integration requirements
Solution Approach 1:
The patent merges the inspection system with the existing decorating machine by integrating cameras, lighting, and control software into the current production line. This consolidation approach improves fault detection precision while managing device complexity through unified system architecture and shared infrastructure with the decorating process
Solution Approach 2:
The inspection system is designed to perform multiple functions: capturing images, identifying various types of faults, tracking fault patterns over time, and providing feedback for process adjustment. This multi-functionality justifies the increased device complexity by delivering comprehensive quality control capabilities that benefit the entire decorating operation
4Manufacturing precision
If real-time inspection and feedback are implemented, then manufacturing precision improves through immediate correction, but loss of time increases due to additional inspection steps
Solution Approach 1:
The inspection system operates continuously alongside the decorating process, with cameras capturing images of cans as they pass through the production line. Image processing and fault identification occur in real-time during production, enabling immediate feedback and correction without interrupting or slowing the decorating process, thus maintaining manufacturing precision without significant time loss
Data Source
Figure 1
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Figure 3A~3B
AI summary
An automated inspection technology is integrated with a cylindrical container print decorator machine, optimizing the decoration process by making critical process and machine information properly and immediately available, facilitating corrective adjustments to the process. A high speed decoration machine operator will be made directly aware of the specific portions or subsystems of the decorator machine which are not functioning properly. The information facilitates the corrective adjustments necessary to the decorator to better optimize its printing functions. It is possible to use this information by way of a properly configured control system and, after specific augmentation capabilities are added to the decorator machine, to automatically close the loops with specific parts or subsystems of the decorator printing machine to dramatically improve the decorating process even while the machine is actively printing.