Image Reading Device Multifeed Detection Criteria Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image reading devices struggle to reliably determine sheet multifeed occurrences, especially when page numbers are absent on document sheets, leading to inaccurate detection of multifeed events.
Innovation Solution
An image reading device equipped with a processor that selects and applies various criteria, such as page number continuity, sheet size, margin area size, and specific character string recognition, to determine if sheets are being fed overlapped, using image data analysis to accurately identify multifeed situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If page number continuity is used as the criterion for multifeed detection, then multifeed detection is simple and fast, but detection reliability deteriorates when page numbers are absent on document sheets
Solution Approach 1:
The system changes the detection parameter from page number continuity to sheet size measurement. By measuring the physical dimensions of fed sheets and comparing them against expected values, the system can reliably detect multifeed conditions without relying on the presence or correctness of page numbers, thus maintaining both speed and accuracy.
Solution Approach 2:
The system replaces the information-based detection method (page number recognition) with a physical measurement method (sheet size detection). This substitution allows the system to detect multifeed conditions based on physical characteristics of the sheets rather than textual information, improving reliability when page numbers are absent.
2Reliability
If multiple detection criteria are implemented to improve reliability, then multifeed detection accuracy improves, but device complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent detection modules, each responsible for a specific criterion (sheet size detection, margin area detection, character string recognition). This segmentation allows the system to implement multiple criteria for improved reliability while maintaining modular architecture that manages complexity through separation of concerns.
Solution Approach 2:
The detection system is designed with multi-functionality to handle various document types and multifeed conditions through a single integrated framework. The processor can select and execute different detection criteria based on the document characteristics, providing universal multifeed detection capability without requiring separate dedicated systems for each detection method.
Data Source
AI summary
An image reading device includes a feeding unit, a reading unit, and a processor. The feeding unit is configured to feed a plurality of sheets of original document one by one. The reading unit is configured to read an image on each of the plurality of sheets fed by the feeding unit and generate image data representing the image. The processor is configured to function as a selecting unit and a determining unit. The selecting unit is configured to select a criterion from among a plurality of criteria. The determining unit is configured to determine, according to the criterion selected by the selecting unit, whether or not a sheet of the original document is actually fed while being overlapped with another sheet of the original document based on image data corresponding to the sheet.