Dynamic Threshold Adjustment for Medium Transport Detection
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Solution Overview
Problem
Existing medium transport systems in image reading apparatuses face challenges in accurately detecting abnormal conditions such as jams, skewing, and multi-sheet feeding, especially with documents like stapled or wrinkled papers, leading to potential damage and incorrect jam detection due to varying paper quality and environment factors, which increases costs and reduces usability.
Innovation Solution
A medium transport apparatus that optimizes threshold values for abnormal condition detection based on historical detection values and environmental factors, adjusting sensitivity dynamically to improve detection accuracy and reduce false alarms, thereby enhancing usability without increasing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed threshold value is used for abnormal condition detection, then the detection method is simple and low cost, but misdetection occurs due to varying paper quality and environmental factors
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously updating the threshold value based on historical detection data and environmental conditions. The control unit stores detection values over time and automatically adjusts the threshold to adapt to varying paper qualities and environmental factors, transforming the static detection system into a dynamic one that maintains high accuracy without requiring complex manual intervention
Solution Approach 2:
The detection system performs self-optimization by automatically learning from historical detection data and environmental conditions. The control unit autonomously adjusts the threshold value based on stored detection values and environmental information without requiring external calibration or user intervention, enabling the system to adapt to different paper types and environmental conditions while maintaining simple operation
2Measurement precision
If the threshold value is changed depending on paper quality and environment, then detection accuracy improves, but user operation becomes complex and usability decreases
Solution Approach 1:
The system automatically adjusts the threshold value based on detected environmental conditions and historical data without requiring user intervention. The control unit autonomously manages threshold optimization, eliminating the need for users to manually adjust settings for different paper types or environmental conditions, thereby maintaining high detection accuracy while preserving simple operation
Solution Approach 2:
The system continuously monitors detection results and environmental conditions, using this feedback to automatically refine the threshold value. The control unit adjusts the threshold based on the relationship between detection values and environmental factors, creating a closed-loop system that improves accuracy while requiring no user input for threshold management
3Measurement precision
If a dedicated sensor for detecting paper quality and environment is added, then detection accuracy improves, but apparatus cost increases substantially
Solution Approach 1:
The patent makes the existing detection unit serve multiple functions by using it to detect both abnormal conditions (jams, skewing) and environmental factors (paper quality, humidity, temperature). The control unit analyzes detection values in conjunction with environmental information from existing sensors, eliminating the need for dedicated paper quality sensors while maintaining comprehensive detection capability
Solution Approach 2:
The system combines abnormal condition detection with environmental monitoring using the same detection unit and control logic. By merging these functions into a single integrated system that analyzes detection values alongside environmental data, the patent achieves accurate paper quality assessment without adding dedicated sensors, thereby controlling manufacturing costs
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively reduces misdetection occurrences and improves the reliability of abnormal condition detection, ensuring accurate operation across varying paper qualities and environments, thus enhancing the overall performance and user experience of the medium transport system.
Implementation Method 1
a sound detector that detects a sound generated in the document transport path
Implementation Method 2
uses transmittance of ultrasonic waves as a detection value for multi-sheet feed detection
Data Source
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AI summary
A medium transport apparatus includes a medium transport path through which a medium passes, a path state detection section configured to output a detection value corresponding to a state of the medium transport path, a control section configured to compare the detection value output by the path state detection section with a threshold value for the detection value and determine whether an abnormal condition has occurred in the medium transport path, and a storage configured to store history information including the detection value acquired in the past, in which the control section changes the threshold value based on the history information.