Image Reading Control for Accurate Target Document Counting
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Solution Overview
Problem
Existing image reading devices struggle to accurately count documents intended for reading when non-target documents, such as different sizes or types, are mixed in the batch, leading to incorrect user understanding of the number of documents to be read.
Innovation Solution
An image reading system with a transport section that transports documents one by one, a reading section that reads and analyzes documents, and a control section that counts documents based on set target conditions using image data to display the number of matching documents, allowing for accurate counting of intended documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If documents are simply transported and counted without verification, then the counting process is fast and simple, but the accuracy of document counting deteriorates when non-target documents are mixed in the batch
Solution Approach 1:
The patent replaces mechanical counting methods with optical reading and image processing. The reading section captures images of documents, and the control section analyzes these images to determine whether each document matches the target conditions, thereby substituting physical handling with optical-electronic detection to improve counting accuracy.
Solution Approach 2:
The system implements feedback by displaying the count result to the user and allowing correction if the counted number differs from the actual number of target documents. This feedback mechanism enables the system to learn from user corrections and improve future counting accuracy for similar document batches.
2Reliability
If all documents in the batch are counted regardless of type, then the counting speed is high, but the reliability of the count result deteriorates when non-target documents are included
Solution Approach 1:
The patent changes the parameters used for document identification by allowing users to set specific target conditions (such as document size, color, or other characteristics). The control section compares the actual document parameters against these target parameters to determine whether each document should be counted, ensuring reliable counting of only target documents.
Solution Approach 2:
The system segments the document batch into target documents and non-target documents based on the set conditions. By processing documents individually through the reading section and evaluating each against the target conditions, the system separates counting of target documents from non-target documents, improving reliability without significantly impacting overall productivity.
3Adaptability or versatility
If the system provides only total document count, then the operation is simple, but the usefulness deteriorates when users need to know the number of specific target documents
Solution Approach 1:
The patent implements dynamic functionality where the system can adapt between different counting modes based on user needs. Users can set target conditions to count specific types of documents, and the system dynamically adjusts its counting behavior to match the specified criteria, providing versatile counting functionality while maintaining a relatively simple operational interface.
Data Source
AI summary
An image reading system includes a transport section that transports documents one by one from a batch of documents, a reading section that reads documents, a display section that displays a setting screen by which a target condition, which is a condition for a document that is to be a reading target, is set, and a control section, wherein the control section counts the number of documents that matches a target condition based on image data of the documents read by the reading section, and cause the display section to display the number of documents that matches the target condition.