Printing Template Inspection Using AI Image Classification
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Solution Overview
Problem
Existing printing systems lack an efficient mechanism to monitor and classify the state of printing templates, leading to potential misprints due to contamination or damage, which necessitates frequent manual cleaning and replacement.
Innovation Solution
A control system utilizing a camera device and AI-supported evaluation to analyze the condition of printing templates, classifying them as reusable or non-reusable based on image evaluation, with the option for user override and continuous learning through training datasets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual cleaning and replacement of printing templates is performed frequently, then printing quality is maintained, but productivity decreases and labor costs increase
Solution Approach 1:
The system enables self-service monitoring where the camera device automatically inspects printing templates without human intervention. The evaluation device autonomously assesses template condition and classifies templates as reusable or non-reusable, eliminating the need for manual inspection and reducing labor requirements while maintaining printing quality.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated optical inspection system using a camera device. The mechanical process of manual checking and decision-making is substituted by an automated image capture and AI-based evaluation system, increasing productivity while maintaining reliability.
2Productivity
If printing templates are used continuously without monitoring, then productivity is maintained, but misprints increase due to contamination or damage
Solution Approach 1:
The system performs preliminary inspection of printing templates before they are used in production. The camera device captures images of templates at the receptacle, and the evaluation device assesses their condition in advance, classifying them as reusable or non-reusable. This preliminary action prevents contaminated or damaged templates from causing misprints while maintaining continuous productivity.
Solution Approach 2:
The system implements feedback by continuously monitoring the state of printing templates through the camera device and evaluation device. The classification results provide feedback on template condition, enabling the system to identify and remove problematic templates from production, thereby maintaining printing accuracy without interrupting productivity.
3Measurement precision
If automated camera inspection is implemented, then template monitoring is improved, but device complexity increases
Solution Approach 1:
The camera device serves multiple functions: it captures images of printing templates for inspection, and the same device can be used for alignment detection during the printing process. The evaluation device handles both template condition assessment and classification. This multi-functionality reduces the need for separate dedicated devices, thereby limiting the increase in system complexity while improving measurement precision.
Data Source
AI summary
A control system for a printing apparatus for printing in particular flat substrates, with a rack, on which a receptacle for a printing template, in particular printing screen or printing stencil, is arranged, with a camera device, which is assigned to the receptacle, and with a user interface for inputting and/or obtaining information. What is provided is an evaluation device, which is connected to the camera device, in order to receive at least one image of the printing template detected by the camera device, wherein the evaluation device is formed to classify the printing template as being reusable or as being non-reusable as a function of the received image.